Baseline Study of the Maharo Resilience Food Security Activity (RFSA) in Madagascar August 2021 | Volume II – Annexes C & D IMPEL | Implementer-Led Evaluation & Learning Associate Award ABOUT IMPEL The Implementer-Led Evaluation & Learning Associate Award (IMPEL) works to improve the design and implementation of Bureau for Humanitarian Assistance (BHA)-funded resilience food security activities (RFSAs) through implementer-led evaluations and knowledge sharing. Funded by the USAID Bureau for Humanitarian Assistance (BHA), IMPEL will gather information and knowledge in order to measure performance of RFSAs, strengthen accountability, and improve guidance and policy. This information will help the food security community of practice and USAID to design projects and modify existing projects in ways that bolster performance, efficiency, and effectiveness. IMPEL is a seven-year activity (2019–2026) implemented by Save the Children (lead), TANGO International, Tulane University, Causal Design, and Innovations for Poverty Action. RECOMMENDED CITATION IMPEL. (2021). Baseline Study of the Maharo Resilience Food Security Activity (RFSA) in Madagascar (Vol. II). Washington, DC: The Implementer-Led Evaluation & Learning Associate Award. PHOTO CREDITS Save the Children / Charlie Forgham-Bailey. DISCLAIMER This report is made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of the Implementer-Led Evaluation & Learning (IMPEL) award and do not necessarily reflect the views of USAID or the United States Government. CONTACT INFORMATION IDEAL Activity c/o Save the Children 899 North Capitol Street NE, Suite #900 Washington, DC 20002 www.fsnnetwork.org IMPEL@savechildren.org PREPARED BY: Baseline Study of the Maharo RFSA in Madagascar (Vol. II) Table of Contents i TABLE OF CONTENTS Acknowledgments.......................................................................Error! Bookmark not defined. List of Tables and figures ....................................................................................................... ii Acronyms............................................................................................................................. iii Annex C: MAHARO RFSA Impact Evaluation Pre-Analysis Plan................................................ 1 1. Description of Study......................................................................................................... 1 1.1 Impact Evaluation Overview ..........................................................................................................1 2. Evaluation approach ........................................................................................................ 2 2.1 Research Objective.........................................................................................................................2 2.1.1 Research Question ........................................................................................................2 2.2 Evaluation Design...........................................................................................................................2 2.2.1 Identification Strategy...................................................................................................2 2.2.2 Randomization Strategy................................................................................................3 2.2.1 Sampling Strategy and Power Calculation ....................................................................3 2.3 Cost-Effectiveness Analysis............................................................................................................4 2.3.1 CEA Perspective ............................................................................................................5 2.3.2 Activity-Based Costing...................................................................................................5 2.3.3 Period of Analysis and Real Figures for all Cases..........................................................6 2.3.4 Cost-Effectiveness Ratio................................................................................................6 2.3.5 Qualitative Context for Interpreting CEA Results .........................................................6 3. Data Collection ................................................................................................................ 7 3.1 Survey Design.................................................................................................................................7 3.2 Outcome Indicators........................................................................................................................8 3.3 Enumerator Training ......................................................................................................................8 3.4 Data Management .........................................................................................................................8 4. Analysis........................................................................................................................... 9 4.1 Descriptive Analysis........................................................................................................................9 4.2 Impact Analysis...............................................................................................................................9 4.3 Supplementary Analysis on Resilience Indices.............................................................................11 4.4 Cost-Effectiveness Analysis..........................................................................................................12 4.4.1 Measures of Effectiveness..........................................................................................12 4.4.2 Cost Data.....................................................................................................................12 4.4.3 Cost-Effectiveness Analysis Results ............................................................................12 4.4.4 Qualitative Data ..........................................................................................................13 5. Data Management Plan ................................................................................................. 14 5.1 Data Quality..................................................................................................................................14 5.2 Data Security & Research Ethics ..................................................................................................16 IMPEL | Implementer-Led Evaluation and Learning ii List of Tables and Figures 5.3 Knowledge Management & Transparency...................................................................................17 5.4 Data Storing/ Sharing guidelines..................................................................................................17 5.4.1 Detailed Steps for Preparing Data and Code: .............................................................17 5.4.2 Data Curation Steps That Data Repository Staff Will Complete .................................18 5.4.3 Project Language for Quality Assurance and Control .................................................18 5.4.4 Quality Assurance .......................................................................................................20 5.4.5 Quality Control............................................................................................................20 5.4.6 Data Processing and Procedures.................................................................................20 5.4.7 Ethical Considerations.................................................................................................21 Appendix............................................................................................................................. 22 Annex D: Data Collection Tool ............................................................................................. 24 LIST OF TABLES AND FIGURES Table 1. Data quality assurance activities...................................................................................................19 Table 2. Maharo RFSA indicators list ..........................................................................................................22 Figure 1: Households sampled per cluster and number of clusters needed................................................4 Baseline Study of the Maharo RFSA in Madagascar Acronyms iii ACRONYMS ANCOVA Analysis of Covariance BHA Bureau for Humanitarian Assistance BL/EL Baseline/Endline BMI Body Mass Index CD Causal Design CEA Cost-Effectiveness Analysis CER Cost-Effectiveness Ratio CRS Catholic Relief Services HAZ Height-for-Age Z-Scores ICC Intra-class correlation IMPEL Implementer-Led Evaluation & Learning Associate Award IE Impact Evaluation IP Implementing Partner IRB Internal Review Board OLS Ordinary Least Squares PII Personally Identifiable Information RCT Randomized Controlled Trial RFSA Resilience Food Security Activity UID Unique Identifier USAID United States Agency for International Development WAZ Weight-for-Age Z-Score WHO World Health Organization WHZ Weight-for-Height Z-Scores This page is intentionally left blank. IMPEL | Implementer-Led Evaluation and Learning Annex C: Maharo RFSA IE Pre-Analysis Plan 1 ANNEX C: MAHARO RFSA IMPACT EVALUATION PRE￾ANALYSIS PLAN 1. DESCRIPTION OF STUDY Causal Design (CD) is part of the Implementer-Led Evaluation and Learning (IMPEL) Associate Award consortium, the Bureau for Humanitarian Assistance’s (BHA) primary mechanism for carrying out the evaluations of the resilience food security activity (RFSA) in Madagascar. CD’s support for this project will include a survey and evaluation design of the Catholic Relief Services (CRS) implemented Maharo RFSA. Over the course of the implementation period, CD will conduct an Impact Evaluation (IE) study using an experimental evaluation (randomized controlled trial (RCT)) approach comprised of: ● A Pre-Analysis Plan that will outline the sampling strategy, survey design, outcomes for the analysis, estimation strategy, and additional methods (as appropriate). ● A Baseline (BL) Report that will summarize and analyze BL survey data. ● An IE Report that will use the BL and endline (EL) data to estimate the impact of the RFSA. ● A Cost-Effectiveness Analysis (CEA) at EL, tied to the IE data. This pre-analysis plan outlines the experimental approach for evaluating the effectiveness of the Maharo RFSA. It outlines the overall evaluation design and approach, data collection and management protocols, and methods of analysis for each component of the evaluation. 1.1 Impact Evaluation Overview CD will conduct an IE using BL and EL survey data in the enumeration areas of the specified RFSA in Madagascar. CD will carry out a BL survey in the first quarter of 2021 and a corresponding EL survey in the first quarter of 2025. Additionally, we will carry out a CEA using quantitative and qualitative methods in conjunction with the EL report. Overview of BL Study: The BL study will rely on quantitative methods to measure BL indicators we will collect in the RFSA target area between January and March of 2021. The survey will provide BL data on the status of communities and households across BHA standard indicators. CD will work closely with BHA and relevant stakeholders to identify other key learning objectives to ensure that the BL survey and study can contribute to this learning where possible. Overview of EL Study: The EL study will collect survey data from the same communities and households in the BL survey to estimate the ability of the RFSA intervention to directly impact household food security and well-being indicators as listed in BHA’s standard indicators. The EL study will be carried out between January and March of 2025 to mirror the timing of the BL survey and allow suitable time to allow for any potential benefits to occur. A follow-up survey will be administered to the same households as in the BL activity to ensure comparability across the two time periods. Overview of CEA: The CEA will rely on data from the IE following the EL study, which will then be tied to the financial data to understand all costs that will contribute to results found in the IE. Additionally, we IMPEL | Implementer-Led Evaluation and Learning 2 Annex C: Maharo RFSA IE Pre-Analysis Plan will complement this analysis with additional contextual information about other programming in the area that may have contributed to any measured benefits, as well as insights from the project team as to what they believe was completed relatively cost-effectively and which aspects of their programming they perceived to be relatively expensive. The results of the CEA will be presented in the EL report. 2. EVALUATION APPROACH 2.1 Research Objective The evaluation uses an RCT design which randomized the communities which would receive the additional activities. Given that general and emergency support was planned to be delivered unconditionally in the region of focus, while we designed the livelihood activities to be more targeted and tailored to specific community needs, the Maharo RFSA created the potential to design an experimental IE to estimate the marginal effect of a set of livelihood activities on the "standard" RFSA package. The evaluation seeks to inform the larger knowledge base around the efficacy of the RFSA among vulnerable populations and how benefits to vulnerable households can be further maximized. 2.1.1 Research Question What is the additional impact on food security and nutrition outcomes in communities that receive additional tailored livelihood activities in conjunction with development, emergency, and nutritional support activities? 2.2 Evaluation Design The evaluation team will conduct a clustered RCT to estimate the marginal impact of the Maharo RFSA intervention on food security and other well-being indicators in selected communities. The approach will use statistical analysis to estimate the direct impact of livelihood support activities on communities receiving RFSA support using standard BHA food security and health indicators. 1 The design will maximize the ability for the research to measure direct and attributional impacts and will employ statistical tools and methodologies, specifically randomization, ex-ante matching, and regression analysis. The CEA, combined with the IE findings, will allow the research team to explore a value-for￾money dimension that assesses activity effectiveness. The following sections outline the specific identification, randomization, and sampling strategies for the IE as well as the CEA methods and strategy. 2.2.1 Identification Strategy The Maharo RFSA activities will include but are not limited to the provision of food assistance as well as maternal health support for mothers and their children, particularly in the early stages of childhood 1 https://www.usaid.gov/food-assistance/partner-with-us/implementation-and-reporting Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 3 development. In addition to these services, the RFSA will also include a range of tailored livelihood support activities. While general RFSA support will be delivered unconditionally in the region of focus, livelihood activities will be designed to be targeted to specific communities. The delineation between communities that receive RFSA package activities with and without the additional livelihood support will allow for the ability to design an experimental IE to estimate the marginal benefit of these livelihood activities. Implementer-defined clusters: Following an in-country field visit and evaluability assessment in January 2020, village or fokontany-level randomization was deemed infeasible because (1) villages or fokontany within the target area are too small to practically implement within, and (2) the definitions of fokontany in this area are dynamic and highly subject to change. The commune is the next highest level of administration. However, there are only 20 communes in the Maharo intervention areas—fewer than would be required for statistical power—ruling this out as an enumeration area for the purposes of randomization. CRS proposed defining “implementation clusters” composed of groups of fokontany that could be served by a CRS team. CRS identified 218 of these clusters in the target area, each with an average of three fokontany per cluster, to be used as the sampling frame. The “implementation clusters” approach should ensure that a statistically adequate number of treatment and control clusters can be assigned. 2.2.2 Randomization Strategy CD will use a two-stage randomization strategy to select final treatment and control communities and households. On the cluster level, CD will use a matched pair randomization approach (rather than stratified random sampling) to ensure better balance prior to BL data collection. In the matched pair randomization, units will first be matched based on variables related to outcomes. In other words, clusters that look “similar” based on available data will be paired together. One unit from each pair will then be randomly assigned to treatment and the other to control. This process will then be used to generate matched pairs that will be utilized in the randomization exercise. CRS has provided information on the estimated number of households, number of potential beneficiaries, access to a river, access to a market, proximity to the coast, and presence of a clinic for each of the 217 clusters. Based on these data we formed 98 pairs of clusters for the matched-pair randomization. This has resulted in 98 treatment areas and 98 control areas with 21 unassigned areas where CRS is free to implement as it sees fit. Prior to assignment, the CRS team verified that the matches were reasonable based on knowledge of the areas. The second stage of randomization will involve selecting fokontany within clusters and household within each fokontany. CRS conducted a household census in its intervention area in August 2020. Using this data, we will randomly sample 1–4 fokontany per cluster, based on the total population of each intervention cluster. We will then sample 12 households per fokontany. 2.2.1 Sampling Strategy and Power Calculation The following assumptions will be used to calculate the needed sample size for the BL and EL surveys: ● Sample size will be based on a cluster randomized design. ● Intra-class correlation (ICC): Our calculations will assume an ICC of 0.10. IMPEL | Implementer-Led Evaluation and Learning 4 Annex C: Maharo RFSA IE Pre-Analysis Plan ● Confidence level of 95%. ● Power level of 80%. ● Expected reduction in poverty over the life of the project of 7.5 percentage points. ● Inflation Factor for number of households with children under 5 years of age to sample: According to a 2011 data set used from Madagascar, 2 24% of the population is under 5 years in the provinces of Toliara and Fianarantsoa. This implies an inflation factor of 1.2. ● Non-response factor: Our calculation assumes a non-response factor of 5%. The figure below illustrates 98 clusters per arm and 18 households per cluster would be required to meet the sample size assumptions listed in the previous section. Figure 1: Households sampled per cluster and number of clusters needed3 However, to account for the possibility that we may have to drop pairs, we use 20 households per cluster to assure that we would be adequately powered for 95 or 96 clusters per arm. To capture sufficient children under 5 and to account for attrition (non-response), the study would require 4, 614 households total, or an average of 24 households per cluster. 4 2.3 Cost-Effectiveness Analysis The CEA for the CRS Maharo activity will focus specifically on the cost-effectiveness of the tailored economic development packages. 2 Madagascar Enquête Anthropométrique et Développement de l'Enfant 2011 household data. More up to date data was not available through the national census as of the creation of this calculation. As a result, this data was used for its focus on child anthropometry. 3 The calculations use Stata software. The command used is “power two proportions .60, diff(.075) k1(95, 96, 97, 98, 99) rho(.1) one-sided graph.” 4 According to our calculations: 3,724 * 1.18 * 1.05 = 4,614 households total, or 23.4 households per cluster. Rounding up this results in 24 per cluster or 4,704. Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 5 This analysis will be viewed from the following dimensions: ● Impact results data measuring key outcomes of the economic development activities; ● Detailed cost per outcome calculations for selected and relevant units of key outcomes; and, ● Perceptions of effectiveness from the implementers. The conclusions will contribute to building a body of knowledge towards understanding the cost￾effectiveness of resilience and food security interventions. 2.3.1 CEA Perspective The CEA will use the donor’s perspective of costs and outputs: often called the program perspective. While this perspective does not capture the true cost of providing economic development interventions to society (such as the cost of the farmer’s time or materials), it is a useful perspective for understanding the cost-effectiveness of programs. This perspective is often used to understand where cost savings can be achieved for the implementing partners (IPs). It is also done to compare alternative development approaches for achieving the same outcome or output. In the program perspective, expenditures by external stakeholders (e.g., households) will not be included in the final CEA, but these will be considered and discussed as leveraged contributions from other parties. 2.3.2 Activity-Based Costing We will use activity-based accounting of project delivery costs.5 This approach allows for a detailed, disaggregated understanding of the implementation costs by the activities that make up an intervention. This approach will be facilitated by the total non-salary costs accounting done by CRS and its IPs. This ought to provide more information on activities where economies of scale or efficiencies can be achieved, which may be useful for future activity design and management decisions and may also be helpful for understanding the cost for scaling any interventions. Activity costs will be disaggregated into the following project implementation costs: ● Governance (Purpose 1). ● Nutrition (Purpose 2). ● Maternal and Child Health (Purpose 2). ● Agriculture and Livelihoods (Purpose 3). ● Natural Resource Management and Risk Mitigation (Purpose 4). Similarly, CRS will be able to track their administration costs according to each of these project activities. This will allow us to include both administration and direct implementation costs associated with each of these project activities. Finally, we anticipate including fixed costs (e.g., staff salaries) in the analysis as well. However, these costs will not vary by activity and will be treated separately (see analysis section below). 5 Sometimes referred to as bottom-up costing. IMPEL | Implementer-Led Evaluation and Learning 6 Annex C: Maharo RFSA IE Pre-Analysis Plan 2.3.3 Period of Analysis and Real Figures for all Cases The timeline for both the cost and the measure of outputs will be from the beginning of the BL evaluation data collection (2021) until EL data collection (2025). We will use 2021 as a base year (using real figures by removing inflation from the analysis).6 2.3.4 Cost-Effectiveness Ratio The analysis will evaluate the cost-effectiveness ratio (CER) of the marginal impact resulting from livelihood support activity. The CER will reflect the cost on a per unit basis, with different measures of effectiveness for the units. These measures of effectiveness are incremental outcome measures that will come directly from the IE. The ratio takes the form below: 𝐶𝐶𝐶𝐶𝐶𝐶 = 𝐹𝐹𝐹𝐹𝐹𝐹𝐹𝐹𝐹𝐹 𝐶𝐶𝐶𝐶𝐶𝐶𝐶𝐶𝐶𝐶 + 𝐴𝐴𝐴𝐴 𝐴𝐴 𝐴𝐴 𝐶𝐶𝐶𝐶𝐶𝐶𝐶𝐶𝐶𝐶 𝑀𝑀 𝑀𝑀 𝑀𝑀𝑀𝑀 𝑜𝑜 𝐸𝐸 A discussion on fixed and activity costs and which measures of effectiveness might be used are included in the CEA Analysis section below. 2.3.5 Qualitative Context for Interpreting CEA Results To complement the CER results, we will also interview key stakeholders to better understand where they perceive any cost efficiencies to exist and what may have been driving those results. Once the CER results are available, interviews with project managers and other key stakeholders will explore qualitative aspects of the economic development interventions. This line of inquiry will help the evaluation team understand what aspects of implementation may have been rather expensive and any strategies for making the implementation more affordable. Finally, we will leverage these interviews to understand if the CEA results might be capturing non￾Maharo activities and if that might lead to interventions appearing more or less cost-efficient than they would be in the absence of the actions of external stakeholders. This is especially relevant as there are some shared costs with other activities that are implemented in the same regions. For example, CRS is concurrently implementing a United States Agency for International Development (USAID) emergency project (Firanga) in the same region and sharing some costs. There are also other funds that will directly contribute to activity implementation, namely a CRS contribution and outstanding funds from a prior award. Key questions for the qualitative CEA inquiry include: ● Have the planned outcomes been achieved, and if not, why not? Was this due to implementation challenges or to other factors, independent of the activity’s ability to deliver? 6 Base year means the analysis will be done in 2021 United States dollar. This implies that inflation in years after 2021 will be removed from the cost calculations, allowing for a comparison on real costs alone. Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 7 ● Was the project able to leverage resources from other parties? What other costs were there (beyond CRS’s IPs) that were incurred for Maharo’s achievements? ● What other interventions were operational in the same areas as Maharo that may have helped contribute to Maharo’s achievements? ● From your perspective, what aspects of this intervention were done cost-effectively? Why? Which aspects were not done cost-effectively? Why not? ● What were unexpected costs or relatively expensive costs in the Maharo RFSA? Additionally, we will thoroughly review project documentation (e.g., quarterly and annual reports and the midterm evaluation) for possible cost variations and their causes. 3. DATA COLLECTION All questionnaires will be drafted initially in English using Open Data Kit software. After receiving approval from BHA, IMPEL, and IPs, CD will translate surveys into French and Malagasy utilizing local partner staff. CD will then engage an outside firm to provide back translation into English to ensure accuracy of the survey tools. 3.1 Survey Design Impact Evaluation: CD intends to implement the same household questionnaire at both the BL and EL periods. The foundation of the survey will draw from selected BHA indicators from the BHA BL/EL indicators handbook7 as confirmed by BHA, IMPEL and IPs in the Inception Workshop in March 2020. Where required, surveys will be adapted to local context and adjustments will be made between survey periods. The questionnaires include a combination of the following modules: ● Module A: Household identification and informed consent ● Module B: Household roster ● Module C: Food access (e.g., Household Dietary Diversity Score, Household Hunger Scale, Food Consumption Score (FCS)) ● Module D: Children’s nutrition and health ● Module D: Anthropometry ● Module E: Women’s nutrition, breastfeeding, and antenatal care ● Module F: Household water, sanitation, and hygiene ● Module G: Agriculture ● Module H: Household poverty ● Module J: Gender–cash ● Module K: Gender access to credit and group participation ● Module R: Resilience module 7 https://www.usaid.gov/food-assistance/documents/ffp-indicators-handbook-part-i-indicators-baseline-and-endline-surveys￾RFSA IMPEL | Implementer-Led Evaluation and Learning 8 Annex C: Maharo RFSA IE Pre-Analysis Plan Community-level data: In addition to the household surveys, short community-level surveys will be conducted at the fokontany level to gather information available at the local level such as other development and aid projects operating in the area and local public services. 3.2 Outcome Indicators The list of outcome indicators for the Maharo RSFA are in the appendix. These indicators reflect discussions with USAID-BHA and the interventions that will be implemented by CRS in target areas. These indicators are also listed in the BHA BL/EL indicators handbook referenced in section 3.1 above. 3.3 Enumerator Training CD will engage its local partner to recruit and train enumerators. Survey manuals and other training materials were adapted from existing research protocols and refined using BHA examples prior to the training period. The CD team will monitor practice surveys during the training to verify comprehension and functionality of the instrument and performance of the enumerators. Anthropometric data collection and training: CD will engage its local partner to staff anthropometry specialists onto the data collection team to provide training of anthropometric measurement as well as oversight during the data collection period. For the BL period, training focused only on standardizing and accurately capturing weight measurements for children using approved measurement scales while observing social distancing protocols. Anthropometrists developed the required training curriculum and provided demonstration training to ensure standardization of measurement practices among enumerators. These measurements comply with all current World Health Organization (WHO) standards and practices. 3.4 Data Management Data protocols: Questionnaires will be drafted using ODK and all household survey data will be collected with electronic tablets utilizing SurveyCTO, a standard data collection application that allows for secure data storage and options for monitoring data quality. Incoming survey data will be monitored by CD staff to flag potential enumeration errors early in the data collection process. In accordance with best practices and regulation around human subject testing and data privacy, access to personally identifiable data (PII) will be limited and anonymized data will be utilized for analysis. Data management protocols will also be approved by a U.S certified Internal Review Board (IRB) and Madagascar’s Ethical Research Review Board prior to any data collection, storage, and analysis. Initial validation: CD will work closely with IPs and BHA to review preliminary findings and discuss potential discrepancies between the data and observations from the field. Quality assurance: CD’s internal Data Management Protocol outlines the activities and strategies that the research team implements to ensure that all data collection efforts meet industry and sector standards and expectations. This includes assurance that the data reflect high levels of USAID’s five data Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 9 quality standards: 8 validity, reliability, precision, integrity, and timeliness. These efforts will then be mapped onto the wider phases of the project to demonstrate when they are being implemented and at what level. A full version of this protocol is available upon request. 4. ANALYSIS To assess the impact of the non-emergency interventions over the course of the activity, the CD team will (1) present preliminary descriptive analysis, (2) conduct regression analysis to estimate the impact, and (3) estimate the cost-effectiveness of the package of interventions. 4.1 Descriptive Analysis The preliminary analysis using the BL data will show the extent to which the randomization was successful in achieving balance at BL. The regression analysis can then correct for any imbalances by adding additional controls as needed. At EL, the team will calculate basic statistics across outcome measures and test for any bias introduced by attrition in the sample or other threats to validity. 4.2 Impact Analysis The evaluation activities will use Ordinary Least Squares or OLS 9 for continuous outcomes and linear probability models for binary outcomes. As needed, the research team will incorporate additional specifications that are meant to enhance statistical power, increase the validity of constructed comparison groups, or both. Examples include ANCOVA methodology that can be used to better account for BL levels of indicators and outcomes of interest. Based on the original research question, “What is the additional impact on food security and nutrition outcomes in communities that receive additional tailored livelihood activities in conjunction with development, emergency, and nutritional support activities?", the evaluation will use the BL and EL data to estimate the impact of the Maharo program on well-being indicators observed at EL: Well-being(EL) = Well-being(BL) + Maharo (Full Package) + Controls(BL) The final impact evaluation model will estimate the average effect of the full intervention package on households within treated clusters, compared to households in the general beneficiary area. The basic ANCOVA model: (1) yij = β0 + β1T+ β2yij0 + εij Where 𝑖𝑖𝑖𝑖refers to the outcome variable for individual or household i in cluster j at EL; T is the treatment dummy; εij is the error term; and 𝑖𝑖𝑖𝑖0 refers to BL values for the same outcome indicator. 8 Conducting Data Quality Assessments | Program Cycle | Project Starter 9 In statistics, ordinary least squares (OLS) and linear probability models (LPM) are methods for estimating the unknown parameters in a linear regression model. They are standard econometric methods used to establish and estimate empirical relationships between outcomes and a range of explanatory factors IMPEL | Implementer-Led Evaluation and Learning 10 Annex C: Maharo RFSA IE Pre-Analysis Plan (2) 𝑖𝑖𝑖𝑖 = 𝛽𝛽0 + 𝛽𝛽1𝑇𝑇 + 𝛽𝛽2 𝑖𝑖𝑖𝑖0 + 𝜃𝜃𝑘𝑘 + 𝜀𝜀𝑖𝑖𝑖𝑖 Equation (2) adds the set of matched-pair dummies𝜃𝜃𝑘𝑘. Although the random selection of households and villages ensures the regressors in (1) and (2) are exogenous, we include a third specification controlling for various household-level 𝑋𝑋𝑖𝑖𝑖𝑖 and village-level 𝑋𝑋 covariates in equation (3). This is because randomization was done prior to the BL and prior to the CRS census with limited information. Therefore, we cannot rule out the possibility of imbalance in some dimensions. (3) 𝑖𝑖𝑖𝑖 = 𝛽𝛽0 + 𝛽𝛽1𝑇𝑇 + 𝛽𝛽2 𝑖𝑖𝑖𝑖0 + 𝛽𝛽3𝑋𝑋𝑖𝑖𝑖𝑖 + 𝛽𝛽4𝑋𝑋 + 𝛿𝛿 + 𝜃𝜃𝑘𝑘 + 𝜀𝜀𝑖𝑖𝑖𝑖 Subgroup analysis: To explore how the impact of the Maharo programming varies for different types of households, we will conduct subgroup analysis. In particular, this analysis can help shed light on particular baseline resilience capacities that are most predictive of endline food security outcomes. Subgroups of interest will be defined together with CRS based on the resilience capacities that are of most interest to them. Indicators collected during the baseline data collection will be used to define different subgroups of households based on their baseline resilience capacities. We will use the following specification to estimate heterogeneous treatment effects on food security outcomes across these predefined subgroups: (4) 𝑖𝑖𝑖𝑖 = 𝛽𝛽0 + 𝛽𝛽1𝑇𝑇 + 𝛽𝛽2𝑆𝑆𝑖𝑖 + 𝛽𝛽3(𝑆𝑆𝑖𝑖 ∗ 𝑇𝑇) + 𝛽𝛽4 𝑖𝑖𝑖𝑖0 + 𝛽𝛽5𝑋𝑋𝑖𝑖𝑖𝑖 + 𝛽𝛽6𝑋𝑋 + 𝛿𝛿 + 𝜃𝜃𝑘𝑘 + 𝜀𝜀𝑖𝑖𝑖𝑖 Where S denotes whether household i is included in the subgroup. Alternatively, if CRS does not have ex ante hypotheses about baseline resilience capacities that are most important for food security, we can identify potentially important resilience capacities using a data driven approach. Specifically, we will estimate heterogeneous treatment effects using the causal forests algorithm to identify which baseline resilience capacities have the largest variation in endline food security outcomes.10 This algorithm allows us to assess all possible subgroups of households versus defining sub groups ex ante and may identify important resilience capacities outside of our original set of hypotheses. We will report both the characteristics of the subgroups identified by the algorithm as well as the impact of the program for these groups. Sampling weights: The evaluation will include results of both weighted and unweighted estimations. Sampling weights will be calculated as the inverse of the product of the probabilities of selection from each of the stages of selection (e.g., district, commune, fokontany, household, eligible individual selection). Separate weights will be calculated for indicators and adjusted to compensate for household and individual non-response. Standard errors and p-values: Standard errors will be clustered at the CRS cluster level. Given the large number of outcome variables, it is important to consider that as the number of outcomes tested increases, the likelihood of finding a statistically significant effect when there is no true effect (Type I error) increases. To account for this, we will report both the standard p-values and the p-values corrected for Family-Wise Error Rate and the sharpened q-values corrected for the False Discovery Rate. 10 Wager, S., & Athey, S. (2018). Estimation and inference of heterogeneous treatment effects using random forests. Journal of the American Statistical Association, 113(523), 1228-1242. Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 11 To generate q-values, outcomes will be organized into outcome ‘families’ according to sector (i.e. food security, child nutrition and health, women’s health, WASH, agriculture, poverty, gender dynamics and resilience). Anthropometry11: In line with standard practice, child nutritional status indicators (stunting, underweight, and wasting) will be derived from World Health Organization (WHO) growth reference standards (z-scores)12. These z-scores are the HAZ (height-for-age), WAZ (weight-for-age), and WHZ (weight-for-height), relating to stunting, underweight, and wasting, respectively. Cases where z-scores fall outside plausible lower and upper bound ranges for Madagascar will be documented and excluded from the analysis. Processes for indicator creation and cleaning will be conducted for all rounds that capture anthropometric data. Women’s body mass index (BMI) will be used to measure nutritional status where the BMI is the ratio of the weight in kilograms to the square of the height in meters (kg/m2). However, due to COVID-19 protocols, we will only collect weight for children under 5 at BL. We plan to collect all anthropometric and maternal weight indicators at the EL. Attrition and missing data: In the case of significant levels of attrition, BL data on originally selected households will be compared with BL data of households that are present at the EL. The research team will be able to test if attrition (or non-response) was imbalanced (by regressing the attrition dummy on treatment status) and/or non-random (by regressing the attrition dummy on various outcome indicators measured at BL). If attrition is found to be non-random and imbalanced, we will construct Lee Bounds–a conservative measure of the upper and lower bounds based on the most extreme sample selection–or conduct Inverse Probability Weighting. Analysis will not attempt to impute missing data points and responses will be ignored for the purposes of impact analysis. This will apply to questions where respondents refused to answer, stated an inability to answer, or otherwise were unable to respond. Cases of implausible data will be shared with the enumeration team to verify the validity of the response or understand the root of the error. 4.3 Supplementary Analysis on Resilience Indices In addition to the impact analysis described above, we will conduct additional descriptive analyses on the BL 8 (Adaptive Capacity Index), BL 9 (Absorptive Capacity Index), and BL 25 (Transformative Capacity Index). The goal of this analysis is to provide additional insights on which elements of adaptive, absorptive and transformative capacities are driving the overall index scores in order to provide useful programming insights for CRS. This analysis will be conducted at endline for both baseline and endline adaptive, absorptive and transformative indices in order to provide insights for CRS on which capacities were relatively strongest and weakest at both points in time and which have seen the most growth over the evaluation period. To assess this, we will report the weights on the index subcomponents generated from the principal components analysis (PCA) procedure. We will also assess how these weights compare to the overall distributions of each subcomponent to determine which subcomponents are most driving the overarching index scores 11 Due to precautions around the coronavirus pandemic, the research team will omit measurement of stunting from the BL analysis and conduct single difference estimation of impact for these indicators. 12 https://www.who.int/childgrowth/standards/Technical_report.pdf IMPEL | Implementer-Led Evaluation and Learning 12 Annex C: Maharo RFSA IE Pre-Analysis Plan 4.4 Cost-Effectiveness Analysis 4.4.1 Measures of Effectiveness Measures of effectiveness for the economic development activities are proposed below. These measures were identified based on how closely these results can be attributed to Maharo’s economic development activities, without incorporating results from the emergency funding. At the same time, we have also tried to identify measures that can best capture the full extent of the economic development funding and its results, or at least reflect most of the activities. These overall outcome measures could include costs per: ● Reduced incidence of people living on less than $1.90 per day ● Household with reduced poor or borderline FCS ● Increased incidence of children under 5 years of age with a healthy weight All measures of effectiveness will come from the IE specified above and will reflect the incremental benefit attributable to the economic development funding. 4.4.2 Cost Data As indicated in the CER explained above, cost data will be captured for fixed costs and for activity costs in the year in which the expense occurs. Definitions and collection plans for each type of cost are outlined below. Fixed costs: Fixed costs are those costs that do not change based on the implementation of activities. Fixed costs include the salaries of the senior project management personnel (e.g., the Chief of Party), financial, contract, and monitoring and evaluation staff. Additional fixed costs such as rent, security, and utilities that were incurred in Madagascar will also be considered (we will not include non-Madagascar fixed costs which might slightly underestimate the costs of project implementation, but we believe the burden of collecting the data will be high). This data will need to be collected in cooperation with CRS. Activity Costs: Activity costs are operational costs. Data for these costs (and the associated activity￾based costing) will be pulled from the CRS financial database. Our team has already confirmed with CRS that their financial data can easily distinguish between economic development funding and the emergency support funding and can be disaggregated according to the activities identified in section 2.4.2 above). To the extent possible, we will provide detailed cost data for the materials that were required for implementation of each activity (e.g., labor, transportation, and infrastructure). Costs will be collected for CRS and their partners. 4.4.3 Cost-Effectiveness Analysis Results Because the IE is only able to examine one treatment arm, this will result in measures of effectiveness for only one set of interventions (economic development funding). This will mean that we will only be able to produce one cost-effectiveness ratio per outcome measure identified above. For example, our results may suggest that it cost $15 per household with reduced poor or moderate FCS score. The question then becomes, is that cost-effective? Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 13 To answer that question, we would need to compare the cost-effectiveness ratio using the same outcome measure. Typically, we might be able to compare an activity’s cost-effectiveness of an outcome against another activity using the same outcome measure, or the cost-effectiveness of how one intervention was implemented in different geographic areas by comparing the costs per same outcome. However, the limitations of just one treatment means that we cannot compare the cost-effectiveness ratio against any other aspect of the Maharo project. This will limit our ability to draw conclusions about whether Maharo has been implemented cost-effectively. However, there are several other external programs that may help characterize or provide some insights about the relative effectiveness of Maharo: ● We believe that we may be able to compare these results to a cost-effectiveness analysis from another RFSA IE in Malawi that is ongoing, although it is too soon to tell how this IE and CEA will be structured. ● We anticipate that we can compare the Maharo CEA results to the CEA results for the FIOVANA project in Madagascar, which will use the same outcome measures and cost accounting. The IE results for FIOVANA and Maharo are measuring different activities, but this may provide some insights as to the additional cost value of livelihood support activity (as measured in Maharo) compared to development, emergency, and nutritional support (as measured in the FIOVANA IE). ● Finally, we will review literature to identify other similar programming, such as Feed the Future activities that were subject to an IE and measured cost-effectiveness using the same outcome measures. We believe this specific criterion will limit the amount of evidence that may be available for comparison; however, it may be possible to impute cost-effective ratios with available information (e.g., we may be able to create our own cost-effectiveness ratios if IE provide overall activity costs and the same outcome measures). There will be limitations to comparing Maharo CEA results directly to any of these other activities listed above, specifically related to the similarity of the activities. All limitations will be discussed in the final report. Furthermore, with more IEs requiring cost-effectiveness analysis, eventually there will be a body of research available to begin to compare RFSA interventions to understand where programming was relatively cost-effectively implemented. 4.4.4 Qualitative Data Without the ability to benchmark the CERs, we intend to complement our understanding of these results in interviews with key stakeholders (in the form of key informant interviews). These interviews will take place after the cost-effectiveness analysis is complete, and contingent on the availability of the stakeholders for interviews selected interviewees for key informant interviews will be individuals with relevant experience and who are knowledgeable about project implementation and the associated costs to provide rich insight. Currently, we anticipate these key informant interviews to be with project management and possibly also USAID personnel who are very familiar with the implementation of the interventions but may also include external stakeholders or direct participants. These interviews will be IMPEL | Implementer-Led Evaluation and Learning 14 Annex C: Maharo RFSA IE Pre-Analysis Plan semi-structured interviews, driven by the methodology questions identified earlier in this document, as well as the results of the CEA analysis. 5. DATA MANAGEMENT PLAN The objective of this section is to provide detailed guidance towards CD’s policy and protocols when storing, coding, and reporting data collected or shared with any staff member. All staff members including permanent salaried staff, permanent/part-time consultants, and previous staff are bound to uphold these agreements as part of their employment agreement with CD as indicated in the employee handbook. If any violations or accidental sharing of information that is not encrypted is mistakenly shared outside of CD. The staff member shall immediately notify the Chief Privacy Officer (Keith Ives, also Chief Executive Officer) and the appropriate notifications will be sent to the IRB, clients, and any study participant whose data has been compromised. This handbook drawn from an array or resources around data management and data quality assurance mechanisms including: Handbook for Safeguarding Sensitive Personally Identifiable Information. Department of Homeland Security, March 2012 Callahan, Mary Ellen. Handbook for Safeguarding Sensitive Personally Identifiable Information, Handbook for Safeguarding Sensitive Personally Identifiable Information § (2012). “Research Protocols.” Innovations for Poverty Action, August 23, 2018. https://www.poverty￾action.org/researchers/research-resources/research-protocols. Chuang, Erica, Harrison Diamond Pollock, and Stephanie Wylstra. “Reproducible Research: Best Practices for Data and Code Management.” Innovations for Poverty Action. November 2015. 5.1 Data Quality • Create inception plan before launching survey operations: The inception plan is an operational plan that covers timelines, staffing needs, logistics, and procurement for your survey, for all stages including questionnaire development, training, piloting, tracking, interviews, and quality assurance. Your inception plan must be in line with your budget(s); for example, you cannot survey more respondents in the BL than your budget estimated—without overspending during your EL. • Create data quality assurance plan and materials before launch: The data quality assurance plan lays out in detail the requirements for back checks, high frequency checks, accompaniments, spot checks, and any other data quality assurance activities. The scope of the data quality assurance plan should not only include technical products, but also data flow, roles and responsibilities, reporting schedules, actionable items based on output, and incentive programs for the field team. It also includes your staffing needs, which may change over the course of the survey. Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 15 • Bench test survey (ideally at least 2 weeks in advance): Bench testing means testing your survey in the office with a minimum of three different testers. You will save time and money by making sure your survey works well BEFORE launching field data collection. Bench testing is an iterative process wherein testers run the survey in different scenarios and provide feedback, while the programmer(s) make changes; note that even small changes to a survey must go through the bench testing process again, as it is easy to make mistakes that affect other parts of the survey. This process works best if the "paper" survey is considered mostly complete and has already been reviewed by central decision-makers on the project. • Pilot survey (ideally at least 1 week in advance): Every survey must be piloted prior to the beginning of the survey in communities outside your study sample. Your pilot should look as close to actual surveying as possible—you may even decide not to tell your field team it is a pilot. Ideally, every question that is included in the final survey should be piloted prior to launch. For surveys using Digital Data Collection, a pilot should include field testing of both the survey program and devices. Remember to leave time to make corrections to errors you identified during piloting. • Accompany surveyors in first week of survey: Field supervisors must accompany a subset of field officers' interviews to monitor field officer performance and to check for survey issues. All field officers must be personally accompanied at least once during the first week of the survey. Accompaniments can be scaled down as the survey progresses, especially by leveraging digital supplements like audio recordings and meta-data. • Implement and act on high frequency checks: High frequency checks provide insight into ongoing field team and data quality concerns before they become too entrenched or too late to manage. By running HFCs, you can regularly analyze (comparative) field officer performance, compliance with ethics requirements, response frequencies and outliers, duplicates, and other project￾specific data quality issues. HFCs are meant to provide the evidence needed to successfully guide and manage a field team on a daily basis, and thus must be accompanied by strict guidance on roles and responsibilities, reporting schedules, and triggered actions (e.g. what outliers would trigger re-interviewing a household). • Implement and act on back-checks: A back-check (also known as a field audit or re-interview) refers to when a highly qualified field officer (also known as a back-checker) visits a respondent a second time to re-administer a selection of questions from the original questionnaire. Those back-check responses are then compared to the original responses. An IPA generated code bcstats program can be used to identify discrepancies between answers, and thus to identify problems with the questionnaire, field team, or both. Your quality assurance plan should have included a back check randomization plan, as well as an action plan for what to do when you encounter discrepancies. • Double enter & reconcile paper surveys: Although paper surveying is now uncommon, there are strict protocols for data entry from paper surveys. Each survey must be entered by two separate data entry operators who cannot compare responses. When there are discrepancies between their entries, they must be reconciled by a third data entry operator who looks at the original survey closely. In-house data entry can be replaced by online firms, which also provide double entry and allow for you to review discrepancies against the original survey responses. IMPEL | Implementer-Led Evaluation and Learning 16 Annex C: Maharo RFSA IE Pre-Analysis Plan 5.2 Data Security & Research Ethics If the IRB is used on you project: • The Principal Investigator is responsible for maintaining IRB approval throughout project lifecycle (e.g. submissions, renewals, amendments, human subjects certificates): Any study conducting human subjects research must have the approval of at least one IRB; note that each project is different, so you should consult with your PIs and IRB Coordinator about how best to get IRB coverage for your project. A typical lifecycle includes approval of the initial research protocol, annual renewals, and amendments when critical items change, such as the questionnaire, staffing, research protocol, or risk level. All project staff, partners and investigators who can see encrypted PII must have up-to-date human subjects’ certificates. Any deviation from the protocol, or any unexpected risk to respondents, must be reported as unexpected events to the IRB. Use Salesforce to keep track of all IRB approvals and upcoming renewal dates. • Retire your project with all IRBs once the project is complete: Once your study is complete, you should retire or otherwise officially close out your IRB with all the reviewing IRBs. For the CD IRB, you should retire your study when (A) all study interventions and activities are complete, and (B) you are no longer actively, regularly working with identified data. Other IRB(s) may have slightly different standards or procedures, so you should check with your reviewing IRB administrator(s) where relevant as well. Whether the IRB is used on your project or not: • Create data security plan and set up encryption (using Whisp.ly to transfer between partners https://whisp.ly/en?) before launch: Respondents' confidential data should be encrypted at all stages, starting at the moment of data collection. This includes while it is on the data collection device, during wireless transmission, while on an external server (e.g., Kobo toolbox, Commcare, SurveyCTO, etc.), when it is on a cloud storage system (e.g., Google Drive or Dropbox), and while on laptops and removable media (hard drives, flash drives). Any time the data is stored on a server that is not controlled by CD; it must be separately encrypted so that the company that controls the server cannot access the data. You must plan beforehand how you will ensure encryption at each of these steps, and how it will be maintained after your project has been officially closed if you are retaining any PII. If you are using any IRB any un-encrypted data is uploaded to the cloud or e-mailed, you must file an unexpected event report to your IRB(s) and comply with any ruling they make. If you are not using an IRB you should report this to the Chief Privacy Office of CD, Keith Ives. • Maintain data security plan (especially encryption) throughout project lifecycle: At every stage of the project lifecycle, data should be properly protected. Among other things, this means PII should remain encrypted during storage and transmission, and passwords should be restricted to the critical members of your research staff. • Use new unique identifier (UID) in de-identified dataset: When you share or publish un-encrypted data, it must be de-identified, i.e. there must be no identifying information in the dataset, such as name or address, or a combination of variables that can be used to identify a respondent. You should also replace your original UID with a new unique identifier. You should do this at the end Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 17 stage of your project, when you have finished matching across waves or different data collection activities. 5.3 Knowledge Management & Transparency • Back up data in at least two locations: There must be at least two copies of the data available at all times. During data collection, this will likely mean on a Kobo Toolbox/SurveyCTO/CommCare server, as well as on a laptop and synced to Google Drive; do not delete server data until it has fully synced to Google Drive as a protection from laptop theft. Post data collection, this could mean backing up your data on an external hard drive on the extremely rare chance that a major cloud service like Google Drive fails. • Save ALL project files to and ONLY to Google Drive: CD project files must be stored in the My Drive\3_CD_Projects superstructure on Google Drive. This includes in particular: raw data files, final versions of questionnaires, back check questionnaires, survey manual, project log and survey notes, high frequency check files, analysis do-files, IRB documentation, and replication code. 5.4 Data Storing/ Sharing guidelines The following bullets are intended for projects which are completed and are going to be stored long term on the Google Drive or any other survey. 5.4.1 Detailed Steps for Preparing Data and Code: Remove PII: Check thoroughly for PII, and make sure to remove before sharing with the data repository team. • All direct identifiers such as UIDs (social security numbers, bank account numbers, and so on) should be removed before storing or with the. Indirectly identifying data such as combinations of variables which could uniquely identify participants should also be considered carefully before storing or sharing data. Include clear variable labels and code value labels: • Make sure that variables are clearly labeled. • If it is a variable collected directly from the questionnaires, indicate this with a question number. If it is constructed, either include the construction in the name or label, or if complex/lengthy, include additional information in notes. • Ensure that value code labels are provided, as they are needed for interpreting the data. Include code file(s) with headers/comments: • Headers: Include header with name of person who last wrote/edited the code, date, and software used (package and version). • Comments: Use comments in the code to indicate which tables are produced. IMPEL | Implementer-Led Evaluation and Learning 18 Annex C: Maharo RFSA IE Pre-Analysis Plan Prepare Readme files: • Please indicate: 1) which files are included in what is shared; and, 2) how data and code files relate (i.e., what code runs on which data, to produce which outputs). We have a template for readme files that we are happy to share and is located on every project folder. Include survey instruments: • Ensure that you are sharing the final version used to collect the data. 5.4.2 Data Curation Steps That Data Repository Staff Will Complete As the data repository team works on the dataset submitted, we will conduct the following three steps to ensure the quality of the materials that we share in our repository. Confirming there is no PII shared in data or code files • It is the responsibility of the original researcher (s) to ensure that PII is removed, and IRB protocols do not permit sharing PII with the data repository team. However, the Data repository Unit will double-check that PII is removed before sharing, because of the high level of importance of maintaining confidentiality of research participant’s information. Examining data and code for usability: • The data repository team will examine variable names and labels, value codes, and the statistical code. As a part of sharing high-quality data, we will attempt to fill in variable labels and/or notes in the dataset where we are able to glean further information from published tables or communication with researchers. Where there are a large number of unclear variables, we may ask the researcher(s) to improve the dataset before publishing. • We will run the statistical code to ensure that it produces the published tables. Checking and sharing related materials: • Supplementary readme file: As we conduct our data curation steps, we will track and share information that will help site users understand the steps that we took, and what we found. We will confirm with the original researcher before sharing this file along with the data. • Study-level metadata: We have created a custom template with fields that we will fill in from all studies. 5.4.3 Project Language for Quality Assurance and Control The following plan outlines the activities and strategies that the research team intends to put in place to help ensure that the data collection for the IMPEL meets industry and sector standards and expectations. This includes assurance that the data reflect high levels of the following dimensions: validity, reliability, precision, integrity, and timeliness (USAID 2016). These efforts are then mapped onto the wider phases of the project to demonstrate when they are being implemented and at what level. Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 19 Table 1. Data quality assurance activities Validity The research team will work closely with IMPEL and BHA project staff to ensure that the indicators and research design are valid measures. This is primarily addressed through efforts leading up to the proposed design of research activities. In this case, the research team combines the following to ensure that the proposed indicators and methods are valid for the scope of the research: • Literature Review and Sector Assessment of current thinking and practice focused both on wider academic and implementation-based publications and on IMPEL specific reports and projects related to measurement; and • Sector Experts feedback and consultation is included into all phases of the BL. Analysis created as a result of research efforts will undergo stakeholder review to further ensure that findings are interpreted correctly and account for contextual realities. Reliability The research team will also ensure that protocols are put in place to ensure consistency in data collection efforts. This includes the creation and implementation of training (if necessary), sampling, and data collection protocols, which undergo internal peer-review. Precision At the outset, the project will build on efforts to ensure data validity and utilize the literature review, desk research, and project documentation to comment on and revise our analysis plan that connects theories of change pathways to research objectives. Integrity Data integrity within the IMPEL Associate Award is delivered through specific systems and processes that manage data entry and safeguards to ensure proper data input. The data input will rely on the following ecosystem: • The questionnaire will be designed to provide clear instruction on proper response coding; • Daily updates to our server will ensure proper data input by centralizing data input across data collectors; and • The research team will conduct spot checks on data taken during the population survey. Project Phases Data Quality Assurance Activity Quality Dimensions Phase 1: Discovery and Design Literature Review and Sector Assessment Validity Indicator Mapping Validity Questionnaire Designed to Promote Proper Response Coding Integrity Phase II: Collection Integration of Data Collection Activities with Existing IMPEL staff capacity Reliability/Integrity Develop Data Collection Protocols and enumerator training Reliability Phase III: Analysis Preliminary Data Spot Checks Integrity Enumeration team review and Feedback Validity Phase IV: Reporting Scheduled Analysis and Reporting Timeliness IMPEL | Implementer-Led Evaluation and Learning 20 Annex C: Maharo RFSA IE Pre-Analysis Plan Timeliness In order to ensure data timeliness, the research team has created a project work plan to ensure that scheduled analysis quickly follows data collection in order to guarantee that relevant findings can inform project implementation decisions and strategy. 5.4.4 Quality Assurance During the implementation of this research, our Team Lead, Reimar Macaranas, supported by CD’s Project Management Office, will use state-of-the-art enterprise resource planning software to manage the project timeline, budget, and resources, to ensure high-quality, on-time delivery of all work products. CD uses Intuit’s suite of programs, which integrates timesheets, accounting, staff availability, budgeting, and project management functions to provide integrated access to all information needed to effectively manage projects. Mr. Macaranas will adhere to CD’s policy that any changes to implementation plans, or timelines are immediately updated in this system, to ensure we can always provide a real-time estimate of the expected resources necessary to complete a task or project, including both staff time and budget. CD also understands the paramount importance of QA/QC on all work products and technical deliverables, and of effective and frequent communication between the Team Lead and IMPEL. CD’s “no surprises” policy requires all project managers to keep clients regularly informed about progress, challenges, solutions, and concerns. IMPEL will therefore always be fully informed of all relevant activities and immediately consulted when guidance is needed. This policy ensures that the Causal Team and KWSH will be partners in critical decision making on, and problem resolution in, all matters. 5.4.5 Quality Control Quality Control for all products will be managed by Mr. Reimar Macaranas. His academic training, years of leadership in research and evaluation, and role as Chief Operations Officer will be utilized to ensure all the Team’s products meet or exceed the expectations of IMPEL. Mr. Macaranas will also provide executive-level oversight and senior technical review of all project tasks and deliverables. He will ensure IMPEL has access to the Causal Team’s key technical personnel that can answer questions at any time. He will verify that CD’s rigorous Quality Control procedures are implemented and ensure that all deliverables submitted to IMPEL meet the highest quality standards and require minimal rounds of revision. These quality control systems will ensure that the Causal Team provides the highest possible quality services to IMPEL with minimal service disruption. 5.4.6 Data Processing and Procedures Quantitative data will be collected using tablets and stored in a secure cloud-based server; analysis will be done using STATA. CD will manage team for doing the data clean up, data entry, data analysis and reporting. Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 21 5.4.7 Ethical Considerations We will ensure that our team, including all enumerators and contractors working on the project, adhere to the ethical guidelines outlined in the American Evaluation Association’s Guiding Principles for Evaluators. The Causal team has experience in preparing IRB protocols for evaluations. For many evaluations, we have successfully worked with Solutions IRB to obtain IRB clearances on domestic and international studies. After recruiting household survey participants, we will obtain informed consent for each person to be interviewed. We will explain the purpose of the study, the topics of the interview/focus group, the person’s rights as a participant, including that their responses will remain confidential, and that participation is voluntary. We will provide contact information for the study investigators and appropriate IRB(s) (if used). The data collectors will review the information to be collected. We will use plain language and translate into Khmer. Participants will provide oral consent. The Causal Team will work with IMPEL to obtain any necessary national or local IRB clearances as appropriate. IMPEL | Implementer-Led Evaluation and Learning 22 Annex C: Maharo RFSA IE Pre-Analysis Plan APPENDIX Table 2. Maharo RFSA indicators list BL # Maharo RFSA Indicators Relevant Modules BL 6 Prevalence of moderate and severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) C BL 10 Percent of households with poor, borderline, and adequate FCS C BL 3 Prevalence of wasted (WHZ <-2) children under 5 (0–59 months) D BL 4 Prevalence of stunted children (HAZ <-2) under 5 (0–59 months) D BL 5 Prevalence of healthy weight (WHZ < 2 and > -2) among children under 5 (0–59 months) D BL 12 Prevalence of children 6–23 months receiving a minimum acceptable diet (MAD) D BL 13 Prevalence of exclusive breastfeeding of children under 6 months of age D BL 14 Percent of children under age 5 who had diarrhea in the prior 2 weeks D BL 15 Percent of children under 5 years old with diarrhea treated with Oral Rehydration Therapy D BL 39 Prevalence of children 6–23 months consuming a diet of minimum diversity (MDD-C) D BL 7 Prevalence of underweight (BMI <18.5) women of reproductive age E BL 11 Percent of women of reproductive age consuming a diet of minimum diversity (RiA) E BL 20 Contraceptive Prevalence Rate (CPR) E BL 26 Percent of births receiving at least four antenatal care (ANC) visits during pregnancy E BL 36 Percent of women in a union who have knowledge of modern family planning methods that can be used to delay or avoid pregnancy E BL 37 Percent of women in a union who made decisions about modern family planning methods in the past 12 months E BL 16 Percent of households using basic drinking water services F BL 17 Percent of households with soap and water at a handwashing station on premises F BL 18 Percent of households in target areas practicing correct use of recommended household water treatment technologies F BL 19 Percent of households in target areas practicing open defecation F BL 27 Percent of households with access to a basic sanitation service F Baseline Study of the Maharo RFSA in Madagascar Annex C: Maharo RFSA IE Pre-Analysis Plan 23 BL # Maharo RFSA Indicators Relevant Modules BL 21 Percent of producers who have applied improved management practices or technologies G BL 22 Yield of targeted agricultural commodities within target areas G BL 29 Percent of farmers who used financial services (savings, agricultural credit, and/or agricultural insurance) in the past 12 months G BL 30 Percent of farmers who practiced the value chain interventions promoted by the activity in the past 12 months G BL 1 Prevalence of Poverty: Percent of people living on less than $1.90/day H BL 2 Depth of Poverty of the Poor: Mean Percent shortfall of the poor relative to the $1.90/day H BL 40 Daily per capita expenditures (as a proxy for income) in United States Government￾assisted areas H BL 32 Percent of women and men in a union who earned cash in the past 12 months J BL 33 Percent of women in union and earning cash who report participation in decisions about the use of self-earned cash J BL 34 Percent of women in union and earning cash who report participation in decisions about the use of spouse/partner's self-earned cash J BL 35 Percent of men in union and earning cash who report spouse/partner participation in decisions about the use of self-earned cash J BL 41 Percent of women/men in a union who are members of a community group K BL 42 Percent of women/men in a union with access to credit K BL 43 Percent of women/men in a union who make decisions about credit K BL 8 Adaptive capacity index R BL 9 Absorptive capacity index R BL 23 Ability to recover from shocks and stresses index R BL 24 Percent of households that believe local government will respond effectively to future shocks and stresses R BL 25 Transformative capacity index R BL 38 Index of social capital at the household level R BL 31 Percent of households participating in group-based savings, micro-finance or lending programs R/K IMPEL | Implementer-Led Evaluation and Learning 24 Annex D: Data Collection Tool ANNEX D: DATA COLLECTION TOOL Question Answer Household identification and informed consent Region ATSIMO ANDREFANA ANDROY District 120-AMPANIHY-OUEST 147-BELOHA 211-TSIHOMBE Commune 507230-ANDROKA 507310-ITAMPOLO 507311-ANDROIPANO 513010-BELOHA 513030-TRANOVAHO 513050-KOPOKY 513070-MAROLINTA 513091-TRANOROA 513092-BEHABOBO 513093-MAHAENEGNE 513094-AMBATOTSIVALA 514011-TSIHOMBE 514012-NIKOLY 514031-BETANTY-(FAUX￾CAP) 514032-ANJAMPALY 514050-MAROVATO 514071-ANTARITARIKA 514072-IMONGY 514073-BEHAZOMANGA 514074-ANKILIVALO Fokontany Code AGNALAMIHOATSE -513094821 AMBATOTSIVALA -513091013 AMBATOTSIVALA -513091013 AMBINAGNY -513091014 AMBINANITELO -513094822 AMPAMATAMAHO -513092017 AMPATY -513094824 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 25 ANDINGOLINGO -513093003 ANDOMBIRY -513094825 ANKILIMARY -513093001 ANKILIVAHARE -513093006 ANKOBAY -513094826 ANKORONGA -513093008 ANTAFIANTSOA -513094827 ANTANAMIARY -513093004 BEVONTAKE -513093007 SAKAVIRO CENTRE -513094828 SAKAVIRO NORD -513094829 SAKAVIRO SUD -513094820 TANANTSOA -513093005 VATOARIVO -513094830 AMBALADODA -507310043 AMBALATSIMIVIKY -507310039 ANKAMENA I -507310040 ANKAMENA II -507310041 ANKILIAMBANY I -507310045 ANKILIAMBANY II -507310060 ANKILIBORY SUD -507310038 BESELY SUD -507310046 BESONO -507311802 BETRATRATRA -507310042 TSIANDRIONA SUD -507310044 AGNAVIAVIMASY -507230801 AMBOHIBOLA -507230017 AMBOLISARIKE -507230018 AMBOROPOTSY -507230803 IMPEL | Implementer-Led Evaluation and Learning 26 Annex D: Data Collection Tool AMPASY NORD -507230004 AMPASY SUD -507230804 ANDROKA ELA -507230012 ANDROKA VAO -507230001 ANKILIBORY I -507270004 ANKILIBORY II -507270006 ANKILIMIONJO-507230806 ANKOBAY -507230024 ANTSAKOA -507230008 BEAVOHA SUD -507230019 BEFAMATA -507230810 BEHARAHAKE -507230005 BEHEVA -507230807 BEHOMBE -507230808 BELAMBO -507230007 BEMANATEZA -507230809 EMINA -507230812 EVANGA -507230813 FANAMBOSA -507230814 KAIKARIVO -507230815 KALANGASA -507230802 KAOFALY -507230805 KILEMARE -507230818 KILILIGNISA -507230819 KILIMIRIMBO -507230013 LANIRANO -507230820 MAHATSANDRY NORD -507230023 MAHATSANDRY SUD -507230822 MALANGY -507230823 MANDEVE -507230821 MANERA -517292005 SODONA -507230025 TSIANKEVA HAUT -507230009 TSIARINDRANO -507230002 TSIMAFAITSE -507230011 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 27 ZAMASY -507230825 AGNALASOA -514032801 AMBARO ANTSEVA -514032802 AMBAROBE -514032006 AMBAROBE II -514032804 AMBAROENE -514032803 AMBAROMALANGY -514032806 AMBAROMANIRY -514032807 AMBAROSOA -514032808 AMBAVATANY -514032011 AMBOGNEMBATO-514032809 AMBOLIRANO -514032810 AMPARY -514032009 AMPARY II -514032812 AMPASIMBE -514032813 AMPENGOKY -514032005 AMPIHA MIVOHATSE -514032016 ANDAVAKIO -514032002 ANDAVAKIO TANANTSOA -514032839 ANDAY -514032010 ANDROVASOA -514032819 ANJAMPALY -514032001 ANKARA -514032004 ANKARANGOTAKY -514032820 ANKATAMBOALAVO -514032007 ANKAZOMBALALA -514032017 ANKILIMIVOATSE -514032822 ANKOBAY -519291008 ANKOROROKE -514032823 ANTAKOKO -514032824 ANTAKOKO PIJOROA -514032825 ANTANAMANJARY -514032014 IMPEL | Implementer-Led Evaluation and Learning 28 Annex D: Data Collection Tool ANTANAMANOY -514032826 ANTANANTSOA -514032828 ANTANKILIVOATSE -514032827 ANTENY AMBONAIVO -514032020 ANTENY OUEST -514032003 ANTENY OUESTII -514032840 ANTSAKOAMALAGNY -514032019 ANTSAKOAMANGA -514032829 ANTSASAVY -514032018 ANTSEVAMAMY -514032830 BEARA MAHASOA -514032831 BEHODATSE -514032015 MAHABIBO -514032832 MAHATALAKY SUD -514032833 MAROSARANA -514032008 MAROTALANJO -514032834 TESAVA MAROTALANJO -514032835 TSARAMANDROSO -514032836 TSIMENABE -514032837 TSITINDROKA -514032013 TSITINDROKA II -514032838 AMBATOMANOY -514011002 AMBATOSAROTSE -514074802 ANAVIAVY AMBANY -514074804 ANDEO -514074805 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 29 ANDRANOMASY AMPIHAMY -514074807 ANDRANOMASY CENTRE -514074808 ANKILIVALO SUD -514011005 ANKILIVALO SUDI -514074812 ANKILIVALO SUDTANAMBAO -514074810 ANKOMBAIMASY -514074813 ANONOKA -514074814 ANTALIABO -514074815 BEFOTAKE CENTRE -514011007 BEFOTAKE I -514074817 EROMBAZY -514011011 EROMBAZY I -514074818 MAGNORIKANDRO-514011003 MAGNORIKANDRO ANAVIAVY -514074819 NAMOTAHA I -514011014 NAMOTAHA NORD -514074820 TOMILY CENTRE -514074821 TOMILY SIHA -514074822 TSIBOANTSOA -514011004 TSIBOANTSOA AMPENGOKE -514074803 TSIBOANTSOA ANKAZONTA -514074824 TSIBOANTSOA ANTANAMIARY -514074826 TSIBOANTSOA BELILY -514074823 TSIBOANTSOA CENTRE -514074827 TSIBOANTSOA II -514074825 TSIHEREKE -514074828 VELONTSOA -514074829 IMPEL | Implementer-Led Evaluation and Learning 30 Annex D: Data Collection Tool AFOTSIFALE DORISA -514071036 AFOTSIFALY EST -514071018 AFOTSIFALY MIRAY -514071026 AMBAROMANOY -514071038 AMBAROMIDADA -514071037 AMBOHITSE -514071023 AMBOHITSE II -514071033 AMBOHITSE MAHASOA -514071039 AMBONAIVO -514071803 AMBORY ANTRAGNOBE -514071040 AMPIMAMY -514071028 ANAKANIMO -514071011 ANALABE -514071029 ANARAMANINTSY -514071042 ANDAMOTY -514071043 ANDRAKETALAHY-514071010 ANDRANOPOLY -514071020 ANDROVAMARE -514071007 ANDROVAMARE EST -514071805 ANDROVASOA -514071031 ANJAMARO -514071801 ANJIRA -514071006 ANKARA AMPIHAMY -514071807 ANKARAGNABO -514071030 ANKILETOKA SUD -514071804 ANKILIMIARY I -514071809 ANKILIMIARY II -514071034 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 31 ANKILIMIKAIKY -514071004 ANKORITSIKA -514071027 ANTAKOKO -514071810 ANTANAMALANGY -514071045 ANTARITARIKA NORD -514071812 ANTSAKOAMANGA BAS -514071002 ANTSAKOAMANGA HAUT -514071035 BAIBO TAOLAGNOSE -514071046 BEARA AMBONY -514071047 BEHEVOTSE I -514071048 BEMOZOTSE II -514071049 BEMOZOTSE III -514071814 BEMOZOTSY -514071009 BETSIPORITSE BAS -514071022 BETSIPORITSY HAUT -514071815 BETSIPOROTSEMAROHO -514071817 BETSIPOROTSE TANANDAVA -514071816 EFOLY ANKILEMANARA -514071050 FANARANO -514071012 IFOLY ANKILIMANARA -514071052 IFOLY III -514071818 IHODO ANIMO -514071053 IHODO BEKOBAY -514071819 MAROAFO AVARADROVA -514071054 MAROAFO BELAZA -514071055 MAROAFO CENTRE -514071056 IMPEL | Implementer-Led Evaluation and Learning 32 Annex D: Data Collection Tool SAKAENA -514071813 SOMANGY TOERANTSOA -514071057 TALAKY AMBATOABO -514071058 TALAKY AMBOANGY -514071059 TALAKY BAS -514071025 TALAKY HAUT -514071024 TANAMBAO -514071061 TSARATANANA -514071062 TSIANOHA IHODO -514071003 TSIANOHA IHODOII -514071063 AGNALOALO -513092801 AMBATOBE SAKARATY -513092802 AMPAMATALEFO -513092020 AMPANAGNIRA -513092021 ANALALAVA -513092005 ANDRANOLAVA -513092008 ANDRANOTSIKIOE -513092013 ANDRANOZA -513092012 ANIVORANO -513092011 ANTANIMENA -513092022 BEHABOBO -513092001 BEHABOBO/NORD -513092018 BEHABOBO/SUD -513092023 BEMENA -513092019 GOGOY -513092804 GOGOY CENTRE -513092805 MAROBASIA NORD -513092006 MAROBASIA SUD -513092009 MAROHERY -513092014 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 33 NAGNANIHA -513092015 SAKARATY -513092016 SAKOANTSOA -513092010 SIHANADROTSY -513092003 AGNANAKEFETSE -514073801 AMBANIKILY -514073001 AMBATOPILAKE -514073002 AMBONAIVO II -514073802 ANABOVO BESOLOHOTSE -514073806 ANABOVO CENTRE -514073807 ANABOVO ESTII -514073004 ANABOVO KAIDAMBO -514073804 ANABOVO NORD -514073013 ANABOVO OUEST -514073808 ANABOVO SUD -514073809 ANDRAVOLA BEHAZOLAVA -514073803 ANJANTSAMPA -514011018 ANJATOKA -514073810 ANJATOKA TANAMBAO-514073007 ANKILIEFATRA -514073812 BAVARO ANTSASAVISOA -514073813 BEHAZOMANGA ANKAMENA -514073811 BEHAZOMANGA I -514073009 BESOLOHOTSE -514073816 BETSAKO -514073817 BEVARO AMA -514073821 IMPEL | Implementer-Led Evaluation and Learning 34 Annex D: Data Collection Tool BEVARO AMBANEKILE -514073822 BEVARO ANKISATSE -514073818 BEVARO I -514073011 BEVARO II -514073012 BEVARO III -514073820 MAROHATAKE -514011046 MORAFENO -514073823 TAMONTO AMBOGNAIVO -514073824 TAMONTO OUEST -514073826 TAMONTOBE AMBAROTELO -514073825 TEVARE ERADA -514073827 TEVARE SENORO -514073828 TEZA AMBAROVAO -514073831 TEZA ANKILEFATRA -514073814 TEZA ANKILITELO -514073833 TEZA ANKILY -514073829 TEZA ANTANEMIRA -514073834 TEZA BEATRATRA -514073835 TEZA BENONOKE -514073837 TEZA MAROFOTY -514073830 TEZA MAROLAVA-514073838 VARAMBANE MAROFANE -514073018 AGNENA -513010074 AMBANISARIKE -513010803 AMBAROMASY BEIEVOTSE -513010825 AMBAROMASY LAMPAVAHO -513010089 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 35 AMBOHIVOLA CENTRE -513010090 AMBORONEOKY 1 -513010070 AMBORONEOKY II -513010071 AMPATIOLOBE -513010091 AMPATIOLOBE EBASY -513010081 AMPATIOLOBE KILEMASY -513010809 AMPATIOLOMASAY AMBONY -513010083 AMPATIOLOMASAY CENTRE -513010082 ANDAVAHELOKE -513010092 ANDEMPO MAROFOTY -513010811 ANDOMBIRY -513010037 ANDOVOKE -513010817 ANDOVOTSIFEFY -513010088 ANDRAMBORO -513010017 ANDRANOHAZONAILY -513010015 ANDRANOLAVA -513010839 ANDRIAMAMERIARIVO I -513010016 ANDRIAMAMERIARIVO II -513010087 ANGOBIGOBY -513010023 ANKAZOMAGNITSE -516032001 ANKILEBEHARA II-513010848 ANKILEBEMALANGY MAHASOA -513010847 ANKILEBEY FONDRALAMBO -513010814 ANKILEMALANGY -513010068 IMPEL | Implementer-Led Evaluation and Learning 36 Annex D: Data Collection Tool ANKILEMIARY CENTRE -513010813 ANKILEMIARY RIDAKY -513010831 ANKILEMIARY SUD-513010833 ANKILETELO ZAMBE -513010067 ANKILEVOATSE -513010823 ANKININY -513010063 ANTAKELOKE ZAMBE -513010032 ANTANAMANDROSO ANTREAKY -513010075 ANTSAKOAMASY -518130005 ANTSAKOAMITONDRITSE -513010069 ANTSANIRIA -513010011 ATSIMONDROVA -513010035 BELOHA NORD -513010001 BELOHA SUD -513010033 BEMONTO BEVAROPATIA -513010029 HATAKATAHE ANJAPOHY -513010012 KARENA MANDROSO -513010818 KIRIMOSA -513010019 KIRIMOSA SUD -513010078 KIRIMOSA TANAMANDROSO -513010821 LAMPAVAHO AGNENA -513010849 LAPAVAHO ANKILIMIARYI -513010020 LAVAHELOKE -513010086 LOMARA -513010064 MAROARE -513010802 MAROLAVA NORD -513010840 MAROLAVA NORDI -513010009 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 37 MAROLAVA NORDII -513010853 MASINA ANTSIMONDROVA -513010838 NAMANDRIHA -513010036 NAMANDRIHA AMPARITANE -513010815 NIFANITSE -513010065 RIJA -513010804 SAMPEZA -513010837 SIHANABOAY TSITONTA -513010022 SIHANABOAY TSITONTAII -513010843 SIHANADALY I -513010027 SIHANADALY MAHAVOTSE -513010806 SIHANADALY TANAMBAO -513010805 SIHANAKAPAHA -513050007 TARAJA -513010085 TIRIMBY -513010021 TIRIMBY EST -513010846 TIRIMBY NORD -513010084 TLIHITSE -513010079 VARAMBAMAHASOA -513010072 VAZOA AMPANY -513010844 VOHITANY -518290007 ZAMBE BELOHA -513010030 ZAMBE CENTRE -513010841 ZAMBE NIFANITSE -513010850 AMANDA II -514031004 AMBATA CENTRE -514031802 AMBINDA MANDROSO -514031803 AMBORY ANDRAKETALAHY-514031005 IMPEL | Implementer-Led Evaluation and Learning 38 Annex D: Data Collection Tool AMBOVOTOKA CENTRE -514031804 ANALOALO -514031801 ANDRIAMAGNAVO -514031805 ANJA CENTRE -514031806 ANJA HAUT -514031013 ANKAZOARA FAHARAZA -514031808 ANKAZOMANGA -514031809 ANKILIMIARY -514031011 ANKILIMIVORY -514031014 ANKILY -514031810 ANOVY SUD -514031012 ANTALAHAVALALA -514031002 ANTAVY NORD -514031003 ANTRONGATSY -514031015 BEHAZOLAVA -514031811 BEHIRATSE -514031812 BELENGA CENTRE -514031813 BEMA -514031006 BENONOKA -514031010 BETANTY (FAUXCAP CENTRE)-514031001 BETSIPOROTSE -514031018 BEVONTAKE -514031019 BEVORY NORD -514031020 HAREAMANONGA -514031814 IVOLA -514031815 MALIOLAGNITSE -514031816 MIARY CENTRE -514031022 MIARY MIVOATSE -514031817 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 39 MITIRY CENTRE -514031818 MONTONDAVA-514031819 MORAFENO -514031008 NANARENA CENTRE -514031820 NANERENA SUD -514031007 TANANDAVA -514031023 TSIMIAMBANY BEHIRATSE -514031024 TSIRERA -514031821 VOHIBE -514031822 ZAMBEY -514031026 AMBANEMOZOTSE -514072019 AMBARO NORD -514072020 AMBAROMANINTSY -514072018 AMBAROMANIRY -514072021 AMBAROSOA -514072022 AMBAROVOHASINA -514072023 AMBATOSAROTSE -514072024 AMBATOVATO CENTRE -514072012 AMBATOVATO EST -514072025 AMBATOVATO MAKIFAHA -514072013 AMBOHIMAHASOA -514072802 AMBONAIVO ANKILEBE -514072026 AMBONAIVO CENTRAL -514072027 AMBONAIVO NORD -514072004 AMPAMATABO -514072803 AMPELATELO -514072804 IMPEL | Implementer-Led Evaluation and Learning 40 Annex D: Data Collection Tool AMPIHAMY TSILAVONDRIVOTSE -514072028 ANALAISOKE -514072029 ANALAKALAGNE -514072030 ANDAMONTY CENTRE-514072031 ANDAMOTY -514072016 ANDRAMIRAVA CENTRE -514072009 ANDRAMIRAVA II -514072010 ANDRAMIRAVA TSIANOHA -514072008 ANDRANOMASY II -514072032 ANDRANOPOLY CENTRE -514072033 ANDREMONTY -514072036 ANKAFOTIA -514072038 ANKAZOTA TANAMBAO -514072039 ANKILEBEMASY -514072040 ANKILEROA -514072806 ANKILIBE NORD -514072002 ANKILIBE SUD -514072041 ANKILIBEMARE -514072042 ANKILIMANINTSY -514072812 ANKILITOKA NORD -514072043 ANKILMALANGY -514072014 ANKINTSY -514072807 ANKORITSIKE -514072047 ANTAKOKO -514072048 ANTANIMANDRIHY -514072049 ANTSADRAHA SAKAMASY -514072050 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 41 ANTSAKOAMANGA AMBONY -514072051 ANTSAKOAMANGA BAS -514072005 ANTSAKOAMANGA CENTRE -514072015 ANTSAKOAMBEHOMA -514072052 ANTSASAVIMASY-514072053 ANTSIVORA CENTRE -514072808 BAIBO TAOLANOSY -514072055 BEMOSESY CENTRE -514072056 BESAKOA -514072057 BESIFAKE MORAMELOKE -514072058 FEKONY -514072007 FEKONY SIHANADAVA -514072059 IMONGY CENTRE -514072046 IMONGY I -514072011 IMONGY IIREBEKE -514072060 MAFANDRE -514072061 MAKIFAHA -514072809 MAROBE -514072006 MAROFOHY CENTRAL -514072062 MAROFOTY NORD -514072063 MAROZA SAKAMASY -514072064 SOMARA -514072065 TANAMBAO -514072810 TOMILY -514072003 TOMILY LIFIKAFO -514072811 TSIANOHA III -514072067 TSIMAGNERA -514072068 AMBALABE BEAVOHA -507310027 AMPITANAKE -507310023 IMPEL | Implementer-Led Evaluation and Learning 42 Annex D: Data Collection Tool ANDRANOMASINTSOA -507310801 ANDRANOVAO-507310016 ANJA BELITSAKE -507310010 ANJA NAMAKIA -507310802 ANKAZOABO -518130009 ANKILIBORY NORD -507310003 ANKILITELO I -517350008 ANKILITELO II -507230028 ANKIRIRISA -507310803 ANKITEKITEKE -507310019 BELOSY MORAFENO -507310804 BEMANATEZA -507310015 BESASAVY NORD -507310013 BESASAVY SUD -507310026 BEVALA MAHASOA -507310805 ITAMPOLO I -507310001 ITAMPOLO II -507230026 KAIKARIVO NORD -507310005 LAVASY -507310806 MALANGERIAKE -507310020 MAROLINTA -507310807 NANOHOFA -507310012 SAKARIAKE -507310031 TANAMBAO MAHAVELO -507310808 TANINDRANTO -507310004 TARIBOLY -507310809 TONGAENORO -507310810 TSIANDRIONA NORD -507310028 VOMBE -507310014 VOROJA -507310021 ZOENARIVO -507310024 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 43 ABORANO -513050801 ADRASEMBA -513050029 ADRASEMBA ANKILEMARO -513050802 AFONDRAVOATSE NORD -513050011 AFONDRAVOATSE SUD -513050020 AMBOHIMAGNARE -513050023 AMBOLONAKANGA -513050026 AMBOVO ANKILEMAMY -513050803 AMOKANIGARA-513050804 AMPANGIDRATY I -513050006 AMPANGIDRATY II -513050041 AMPANGIDRATY NORD -513050042 AMPILOFILO -513050008 ANANAJA -513050028 ANANAKIRIHITSE -513050038 ANDOHANOSY -513050805 ANDRANOHAZOKILY -513050806 ANJA -513050807 ANJAMPOTY NORD -513050033 ANJANDAVO I -513050043 ANJANDAVO II -513050044 ANJAPOTY -513050014 ANJATOVO -513050035 ANKAMBOA -513050034 ANKILEMASY -513050808 ANKILETOMOTSE -513050047 ANKILEVOANGY -513050003 ANKILIAMBO -513050037 ANKILISOA -513050811 ANKILY SUD -513050812 IMPEL | Implementer-Led Evaluation and Learning 44 Annex D: Data Collection Tool ANTSAKOATSOA -513050036 ANTSETA NORD -513050027 BEBALAHAZO -513050032 BEBALAHAZO ANJAGNE -513050813 BEFAHITSY -513050004 BETIOKY -513050814 BETREKE -513050815 BETSAKO -513050024 BEVOLOMBITY -513050017 BEVOLOMBITY SUD -513050031 EFIFY -513050040 KILETELO -513050816 KOBOKARA -513050045 MAROFANOGNE -516011037 TAMBANIFATY -513050030 TAMBANIVARO -513050019 TAMBANIVARO AVARATRA -513050018 TAMONTO I -513050005 TAMONTO II -513050002 TAMONTO SUD -513050817 TAMONTODAVA -513050818 TAMONTOPOTY -513050049 TAMONTOPOTY SUD -513050050 TANANDAVA -518210019 TEDREATSE EST -513050819 TEDREATSE NORD -513050821 TEDREATSE SUD -513050025 TEDREATSY -513050021 TEZA -513050022 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 45 TEZA AMBAROSOA -513050820 TSINAHA -513050001 TSINAHA KOPOKY -513050051 TSINAHA TRATRAVAKY -513050012 VAREMARO -513050039 AGNANAKENGETSE -513010045 AMBINDAVATO ANJAMALANGY -513010013 AMBOHIMAHASOA -513093801 ANDRAKEA ANKILIROE -513093802 ANJAGNABO -513093803 ANKARENA -513093804 ANTALY -513010048 ANTALY II -513010049 ANTSAGNIRA -513010047 ANTSAKOAMENARAVE-513093806 ANTSARIDAVA -513010044 ANTSIASAMBE -513093807 BEADALA ANKARENA -513093809 BEHOROFA -513093810 BEHOROFA AVARATRA -513010005 BELEMBOKE -513093811 BESAKOA -513010043 BESOMOTSE MAHENY -513010003 EDORA -513093812 MAGNORIKE AMBORY -513093813 MANDRIBATY ANDRAKEA -513093814 MAROLAVA ANDREFANA -513010004 ROROHA -513093820 TANANTSOA -513010040 IMPEL | Implementer-Led Evaluation and Learning 46 Annex D: Data Collection Tool TEFOTOTSE ANDRAKEA -513093816 TEFOTOTSE ANDRAMBALEI -513010010 TEFOTOTSE ANDRAMBALEII -513010042 TEHODO RIAMBE -513010008 TEHODO RIAMBEII -513093815 TEVAMENA I -513093805 TEVAMENA II -513093819 VONDROTE -513010002 ABOLAZA -513070018 ABOLAZA AMBAROTELO -513070801 AFONDRALAMBO MAHAVELO -513070010 AMBALAMANASY -513070025 AMBAZOATIVOKE SUD -513070802 AMBORIGNABO-513070008 AMPOTAKY -513070804 ANDOVOKE -513070026 ANDRAKETALAHY-513070003 ANDRANODILY -513070023 ANJAMASY -513070805 ANJEDAVA -513070017 ANJEDAVA ANGNALASOA -513070806 ANKABOA -513070807 ANKILEMASY -513070808 ANKILEROMOTSE MIVOATSE -513070810 ANKILEVALO ANDOVOKE -513070812 ANKILIMALANGY -513070813 ANKILIMIVORY ANKILISOA -513070809 ANKILIMIVORY MAROMAINTE -513070029 ANKILISOA -513070014 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 47 ANTSAKOAMIDEGA -513070816 BEAVOHA BEHARAHAKE -513070817 BEJAVO -513070818 HAZOHANDATSY -513070016 KAMBO KILIABOMAHASOA -513070820 LAVAHELOKY OUEST -513070015 LOVOKARIVO -513070027 MAHABO -513070021 MAHABO TSIAKATSE -513070823 MAHAFALY -513070001 MAHAFALY II -513070824 MAHAFALY SUD -513070825 MAHATSARA -513070012 MALEBITSY -513070009 MANINTSY -513070826 MAROJELA -513070004 MENDORAVY -513070022 MIKAIKARIVO -513070005 REBOBOKY -513070819 SAKOATSIOTA -513070827 SAKOATSIOTA BEOUEST-513070828 SASAVISOA -513070013 TAMBALA KAREMBOLA -513070011 TAMBOVO -513070803 TANALAVE -513070002 TANALAVE BE -513070007 TANANDAVA MAROKAMBA -513070830 TANANDAVA TESOMANGY -513070006 TANANTSOA -513070831 TANEMENA -513070032 TATIMO -513070020 TESOMANGY MAROBE -513070832 TSILANGY -513070024 IMPEL | Implementer-Led Evaluation and Learning 48 Annex D: Data Collection Tool AKABOA ANALAVELO -514050801 AMBANIKILY AMBANIFATY -514050006 AMBANIKILY VOLANKIRA -514050004 AMBANINONOKA EST -514050802 AMBARO -514050003 AMBARO AVARADALA -514050803 AMBAZOA -514050012 AMBOANDELAKA -514050010 AMBOANIO -514050804 AMBY -514050805 AMBY OUEST -514050806 ANALAFALY -514050025 ANALAMISAKA -514050807 ANDITSAKE -514050020 ANDRARAKA -514050023 ANGODAGODA -514050808 ANJEKOSY -514050027 ANJEKOSY TSIGNALOKE -514050809 ANKILETELONISAVARA -514050029 ANKILIMAMOASOA -514050019 ANKILIMAMOASOAANDRAORO - 514050811 ANKILIMAMOASOA EST -514050030 ANKOROROKE -514050031 ANTSAKOAGNABO -514050812 ANTSAKOAMAHASOA -514050813 ANTSAKOAMASY -514050032 ANTSETA -514050011 ANTSETA I -514050033 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 49 BEAMPOLY SUD -514050814 BEFEHA -514050017 BELITSAKY -514050009 BELITSAKY ANKILY -514050816 BELITSAKY KINONO -514050036 BEMAGNENDRAKY -514050817 BEMERE ANIVONTANY -514050818 BETSINGIVY I -514050836 BETSINGIVY II -514050819 BEVALA -514050018 BEVARO BESENA -514050037 BEZA -514050038 KATRAVITRA -514050039 KATRAVITRA CENTRE -514050821 MAEVATANANA SUD -514050040 MAROBE -514050823 MAROLAVA -514050005 MAROLAVA SUD -514050041 MAROTREKA -514050824 MAROVATO CENTRE -514050825 MAROVATO NORD -514050042 MIONJONA -514050014 MOTOFOE -514050826 SORAMENA -514050008 TANAMARE -514050829 TANAMBAO EFOLY -514050043 TANANDAVA SUD -514050022 TEFOTOTSE TANANDROE -514050830 TRAMBA BEAVOHA -514050831 TSIDIRY -514050044 IMPEL | Implementer-Led Evaluation and Learning 50 Annex D: Data Collection Tool TSINAVA AVARATRA -514050045 TSINAVA SUD -514050832 TSITANDRE AMBANY -514050833 TSITANDRE AMBONY -514050834 VOHIBE -514050835 AMBASIA CENTRE -514012801 AMBASIA II -514012038 AMBOVOTOKA -514012039 AMPILOFILO -514012040 AMPOZIBE -514012802 ANANAKIRIHITSE CENTRE -514012043 ANANAKIRIHITSE I -514012803 ANATSOSA CENTRE -514012015 ANATSOSA MAROMAINTY -514012016 ANDAGOA SUD -514012047 ANJA TANAMBAO -514012024 ANJA TANAMBAOI -514012806 ANKATSAKALA -514012807 ANKILILIRY AGNALASOA -514012048 ANKILILIRY ANKILEMASY -514012809 ANKILIMIGAHY -514012042 ANKIRIHITSE CENTRE -514012049 ANTANAMALAGY-514012810 BEHASY -514012022 BEHASY AMPIHAMY -514012811 BEHASY ANATOMASY -514012814 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 51 BEHASY ANKILETELO -514012815 BEHASY CENTRE -514012812 BERENE -514012816 BERONONO -514012044 FIRAMBAGNA -514012036 KATAMPOLY TANAMBAO -514012818 LAMBOVOLA -514012045 MARAKALO ANDRANOMAINTY -514012819 MARAKALO OUEST -514012013 MARAKALO SIHANADAMPY -514012010 MARAKALO SUD -514012017 MARAKALO ZANAVO -514012820 MAROAKALO EST -514012057 NAMOIA -514012014 SARELAGNITSE -514012056 SIVORA AGNADILY -514012058 TAMONTO ANKAMENA -514012825 TAMONTO ANKILIMASY -514012826 TAMONTO NORD -514012011 TAMONTO SUD -514012018 TAMPOTOTRE AMPIHAMY -514012828 TAMPOTOTRE ANDROVAELA -514012829 TAMPOTOTRE OUEST -514012830 TAMPOTOTSE AMBITIKE -514012059 TAMPOTOTSE AMBITIKEII-514012834 IMPEL | Implementer-Led Evaluation and Learning 52 Annex D: Data Collection Tool TAMPOTOTSE ANTANAMIARE -514012026 TAMPOTOTSE ANTANAMIARYII -514012831 TAMPOTOTSE BETAMBOHO -514012060 TAMPOTOTSE EMONTO -514012020 TAMPOTOTSE MAROBE -514012033 TAMPOTOTSE MAROMAINTEI -514012832 TAMPOTOTSE MAROMAINTY -514012019 TAMPOTOTSE MAROMAINTYII -514012827 TAMPOTOTSE NORD -514012023 TAMPOTOTSE SUD -514012025 TEHODO -514012838 TSIAGNAFO -514012839 AMBATOMASINA -513091801 AMBONDROMIFEHE -513091802 AMPASIMAY -513091803 AMPOTOBATO -513091030 ANDAMILAMY -513091019 ANDOHAMBOSY -513091029 ANDOHAVOVO -513091036 ANDOVOTROATSE -513091804 ANDRANOHERIKA -513091009 ANDRANOTSIKIO TANANTSOA -513091805 ANKAMENA -513091043 ANKARAMANOY -513091003 ANKARENA -513091807 ANKILIAGNANO -513091041 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 53 ANKILIMIHAMY-513091808 ANKILIROA KIJAFO -513091035 ANTARALAVA -519270002 ANTSAKOAMITONDRITSE -513091809 ANTSIFITSY -518010007 ANTSOLO -513091040 ANTSOLO SEVOHITSE -513091810 BELAZA ANKILIABO -513091034 BEREHA -513091812 BESAKOA -513091813 BOBOKA MAHASIRA -513091044 BOBOKE MAROFANE -513091020 FENOARIVO -513091046 JONTANY -513091002 KEREMBOLA ANKILEGNANO -513091022 KEREMBOLA I -513091023 KOBOARY -513091005 KOBOARY AMBATOMASY -513091815 KOBOARY TANAMBAO -513091816 MAHASIRA -513091021 MANGOROROKY -513091817 MAROFIA -513091818 MAROFIVIKY -513091819 MAROMASO I -513091037 MARORAZA TRANOROA -513091001 MORAFENO -513091820 MORAFENO BEGO -513091045 RERANGO -513091010 RERANGO ANALALAVA -513091032 SORONAMPELA -513091025 IMPEL | Implementer-Led Evaluation and Learning 54 Annex D: Data Collection Tool TAMOTOMBEY -513091038 TANAMBAO -513091031 TAOLANAMPELA-513091033 TSIRIBOA -513091823 TSOTSO -513091006 TSOTSO AMBONY -513091824 TSOTSO ATIGNANA -513091825 VOHIBOLA -513091007 VOHIBY -513091004 AGNIRIMIHAMBA II -513030037 AGNIRINIHAMBA I -513030003 AMBALANOSE -513030028 AMBALANOSY ANDARO -513030801 AMBAROMAHASOA -513030802 AMBATOMASY -513030024 AMBAZOAMILOLOKE -513030803 AMBORIMAHASOA -513030035 AMBORONEOKE ANTSAKOANTSOA -513030804 AMBOVO -513030805 AMPIHAMY -515115009 ANALAMARY -518152008 ANANADEMBY -513030020 ANDRASEKY -513030012 ANGIRAZATO -513030009 ANKABOA -513030011 ANKABOAMAROROKE -513030041 ANKARA -513030806 ANKATRAFAY -513030807 ANKILILIRY -513030808 ANKILIMIZARA -513030809 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 55 ANKILISINAO -513030007 ANKILISINAO AMPAMATA -513030810 ANKILITOKA -513030811 ANKILIVALO -513030042 ANTANIMENA SUD-513030812 ANTAOLA -513030813 ANTSAKOAMALANGY -518110005 BARABAY -513030001 BEFAMATA -513030016 BENATO -513030006 BENONOKE ANKILITELO -513030815 BETAIMBOLO -513030018 BETINDRIA -513030033 BEVOAY MAHASOA -513030816 EVANY -513030817 LAPARORO -513030004 LAVANONO -513030021 LAVANONO MAROFOHE -513030819 MAHAHEVY -513030030 MAROFOTY ANKATSO -513030822 MAROKIPA -513030029 MASOMBAHO -513030002 MASOMBAHO SUD -513030826 NATOMASY -513030008 NATOMASY II -513030828 NIFONDRA -513030038 SAKADO -513030040 SARERIAKE -513030026 SOAMAGNITSE I -513030023 SOAMAGNITSE II -513030022 SOAMAGNITSE IIMAROKELY -513030829 TAINAKANGA -513030034 TOMBOINABO -513030039 TRAMBA -513030015 IMPEL | Implementer-Led Evaluation and Learning 56 Annex D: Data Collection Tool TRAMBA MAROFOHY -513030814 TRANOVAHO -513030013 TRANOVAHO TAMBAHE -513030831 TSIONGY MAHASOA -513030833 VAVAOMBY -513030031 AFONDRALAMBO EVAZY-514011805 AGNARA -514011009 AGNAVOHA -514011830 AMBATOBE ANKILEBEROPITIKE -514011835 AMBATOBE ANKILY -514011017 AMBATOBE SUDII -514011836 AMBATOLAHY TSIDAMBO -514011810 AMBATOMPILAKY ANKILEMASY -514011824 AMBONDRO OUEST -514011815 AMBORONGO -514011818 AMBOVO -514011033 ANDRANO SINIKE -514011820 ANDRANOSOA -514011817 ANJADO SIVEY -514011058 ANKAHIDAMBO - 514011834 ANKILILIRE -514011834 ANKARA MAROFOTY -514011054 ANKARANDOHA -514011833 ANKASY AGNALASOA -514011811 ANKILEMAMY -514011819 ANKILEMASY -514011827 ANKILILIRY -514011032 ANKORAKOSY -514011047 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 57 ANTSAKOANTSOA -514011812 BEAVOHA NORD -514011030 BEAVOHA SUD -514011806 BEAVOHA TANAMBAO -514011035 BELEMBOKA CENTRE -514011015 BELEMBOKE -514011016 BELEMBOKE CENTREII-514011060 BESARA -514011048 BEVAZAVO CENTRE -514011061 MANENDRO ALAMENA -514011053 MAROHARIVA MOKAVAO -514011822 MAROHIRA MAROLAHATSE -514011062 MAROHIRA NORDI -514011057 MAROHIRA SUD -514011038 MAROLATSE CENTRAL -514011064 MAROTANA -514011026 SAKAMASY -514011025 SAKAMASYI -514011066 SAREAGNONDRYI -514011067 SIHANAMENA ANJAMARO -514011831 SIHANAMENA MAROBEY -514011028 SIHANAMENA MAROBEYI -514011809 SIHANAMENA MAROFOHY -514011029 SIHANAMENA MAROFOTY -514011823 SIHANAMENA MAROLAVAEST -514011027 IMPEL | Implementer-Led Evaluation and Learning 58 Annex D: Data Collection Tool SIHANAMENA MAROLAVAOUEST -514011021 SIHANAMENA MAROLAVASUD -514011068 SIHANAMENA ZINARA -514011825 TAIVO -514011020 TAMBANDITSE -514011070 ANKARANDOHA -514011070 TAMBANDITSE TSIEVAENANAKE -514011816 TANAMBAO -514011813 TESINGO AMBANENONOKE -514011052 TESINGO ANALAMISANDRATSE￾514011071 TESINGO ANALAMISANDRATSEII -514011072 TESINGO MAROFOHE -514012029 TESINGO MAROFOTY -514011073 TESINGO NORD -514011074 TESINGO SUD -514011075 TESOGNO SUD -514011829 TEVATRA AGNINAKE -514011056 TEVORO -514011019 TSIABIJA MIRAY -514011055 TSIDAMBO -514011814 TSIDAMBO BESARAAVARADRANO -514011036 TSIHOMBE ANTSIMONDRANO -514011807 TSIHOMBE AVARADROVA -514011024 TSIHOMBE CENTRE -514011001 TSIHOMBE FOTOTRA -514011802 TSIHOMBE I -514011022 Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 59 TSIHOMBE IANTSIMONDRANO -514011808 TSIHOMBE II -514011023 ZAFINDRAVALA -514011037 Household number text What is the name of the household/primary contact on the household list? text Enumerator's Name Sambo Salohy Elinah Toera Patricia Laza Braundon Joseline Judith Sylvana Nathalie Herizo Pascal Dina Raymond Chantal Rado Abelin Fidelis Jacky Alice Masitata Aromisaina Bruno Francoise Delly Severin Durando Marina Larissa Josee Danie Fano Hery Voahangy Liva Hugues Yvon Jocelyne Dina Rikki Vicky Nivo IMPEL | Implementer-Led Evaluation and Learning 60 Annex D: Data Collection Tool Rija Marie Georgette Lenia Soatiana Fenohasina Serge Jenny Mbola Willy David Noro Aina Ella Marie Francoise Supervisor/Team Lead Adrien Njaka Andry Mialison Rinah Prisca Andry Victor Nathalie Hasintsalama Jose Ndriana Regina Mahafantatsy Patrick Rajaoba Sandy Tahiry Jean Patric Setra Notiavina Miharintsoa Rindra Faniry Notiavina Mirana Zo Antenaina Lino Tsilavo Fanja Yves Noelijaona Lydia Fitahiana Harivola Angela Estelle Household Identification information Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 61 Hello, my name is [ENUMERATOR]. I am working with Consultant Associates in Madagascar on behalf of CD, a US company that does research on programs that support communities in Madagascar. We are speaking with households in your area to learn more about how families and communities support themselves and respond to challenges. Your household was selected to be interviewed to learn how you have been affected by different challenges and how your family responded to them. Households like yours were selected because they live in an area where Catholic Relief Services, CRS, is delivering the Maharo program and its activities.Explanation of ProceduresThe interview may take up between one and two hours to finish. We will ask to interview different members of your household. We will ask many things about your daily life in the survey and hope that none of the questions make you or your family members uncomfortable. If I ask you any questions you or your family members don't want to answer, let me know and I will go on to the next question. You can also stop the interview at any time. If you decide not to participate in this survey or if you withdraw from participating at any time, you will not be punished in any way. Your privacy is important to us. We hope you will agree to answer the questions since your views and experiences are important. Choosing to participate will not do anything to change the services and support you receive from the Maharo program.RisksThere is little risk to you and your household for sharing your experiences. We have taken care to protect you and your household against the COVID-19 virus. We will wear masks during the interview and maintain a 2-meter distance from you and the people in your household. We will be weighing children during this survey and to make sure that we keep you and your household safe we have cleaned the scales, washed our hands with disinfectant, and we will still have our masks on. Your responses will help organizations like CRS better understand how to improve programs and provide support in the future.BenefitsThere is no direct benefit to your household for sharing your experiences. Your responses will help organizations like CRS better understand how to improve programs and provide support in the future. At the end of the interview, we will provide a small gift, a small packet of Yes No IMPEL | Implementer-Led Evaluation and Learning 62 Annex D: Data Collection Tool soap, for your participation.ConfidentialityIf you agree to participate, the information will be entered into a database that will be used to understand how people in your community live their lives and do daily activities. Some of the information you provide will be available on a public website that researchers and others will be able to access, but all personal information will be kept confidential and not made public. There will be no audio or video recording of this interview. We will ask you for personal information now to make sure that we can visit you at the end of the project about 5 years from now to ask you the same types of questions but will remove all personal identifying information after we have finished collecting your responses at the end of the research. Any data attached to your personal information will be stored in a password protected electronic format.QuestionsDo you have any questions about the survey or what I have said? If in the future you have any questions regarding the survey or the interview, or concerns or complaints, we welcome you to contact Consultant Associates or CD. You can reach us at info@causaldesign.com or (720) 260-4837.If you have questions about your rights as a research participant, or concerns or complaints about the research, you may contact the Solutions IRB at (855) 226-4472. This organization isbased in the United States. Regular hours for Solutions IRB are 8:00 a.m. to 5:00 p.m. CT, Monday through Friday. You can also email them at participants@solutionsirb.comWe will leave a copy of this statement and our organization’s complete contact information with you so that you may contact us at any time. Do you agree to participate in the survey? Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 63 Now I would like to ask you some questions about the people who live in this household. Let me tell you a little bit about what we mean by “household.” For our purposes today, members of a household are adults or children that live together and eat from the “same pot.” It should include anyone who has lived in your house for 6 of the last 12 months, but it does not include anyone who lives here but eats separately. Please tell me the name and sex of each person who lives here, starting with the head of the household. Please include all small children and newly born infants. How many people are in your household? Number begin repeat So there are [B01B] in your household correct? Yes IMPEL | Implementer-Led Evaluation and Learning 64 Annex D: Data Collection Tool No Now, please tell me the name and some information about each member of your household. Name Text Relationship to head of household HEAD OF HOUSEHOLD SPOUSE OR PARTNER CHILD SON-IN-LAW OR DAUGHTER￾INLAW GRANDCHILD PARENT PARENT-IN-LAW BROTHER OR SISTER OTHER RELATIVES ADOPTED/ FOSTER/ STEPCHILD NOT RELATED DON’T KNOW REFUSED Is [B02] male or female? Male Female Please tell me how old [B02] is. RECORD AGE IN COMPLETED YEARS USE “00” IF CHILD IS LESS THAN 1 YEAR “88” = DON'T KNOW. USE ONLY FOR PERSONS WHO ARE ≥ 50. IF 95 OR MORE, RECORD “95”. Number Was [B02] in charge of the food preparation yesterday? Yes No Is this person the head of the household; or a responsible adult if head of household is absent? Yes No Is [B02] a farmer? *Farmers, including herders and fishers, are: 1) women and men who have access to a plot of land (even if very small) over which they make decisions about what will be grown, how it will be grown, and how to dispose of the harvest; AND/OR 2) women and men who have animals and/or aquaculture products over which they have decision-making power. Farmers produce food, feed, and fiber, where "food" includes agronomic crops (crops grown in large scale, such as grains), horticulture crops (vegetables, fruit, nuts, berries, and herbs), animal and aquaculture products, as well as natural products (e.g., non-timber forest products, wild fisheries). These farmers Yes No Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 65 may engage in processing and marketing of food, feed, and fiber and may reside in settled communities, mobile pastoralist communities, or refugee/internally displaced person camps. An adult member of the household who does farm work but does not have decision-making responsibility over the plot OR animals would not be considered a "farmer." For instance, a woman working on her husband's land who does not control a plot of her own would not be interviewed. Has [B02] done any work in the last 12 months? *Work (for identifying cash earners) includes jobs in the formal and/or informal sector, full time, part time, or seasonal work that is done within and/or outside the home. It includes, but is not limited to agricultural daily wage labor, off-farm daily wage labor, income generation activities, sale of goods produced or processed outside the home or at the home, homestead garden or farm (e.g., vegetables, eggs, fish, livestock, artisanal goods), or petty trading. It can also include participating in cash for work, food for work, or conditional cash transfers and/or productive safety net programs. For this indicator, work does not include caring for one’s own children, cooking, cleaning or doing other routine chores for one’s own household (e.g., fetching water, collecting firewood) or being involved in agricultural production solely for household consumption. Yes No During the last 12 months, was [B02] usually paid in cash or kind for this work or was not paid at all? Cash only Cash and kind In kind only Not paid Don't know Refuse What is [B02]'s current marital status? Married or living together Divorced/Separated Widowed Never married or never living together Don't know Refuse Has [B02] ever attended school? Yes No Don't Know What is the highest grade [B02] has completed? Less than 1 year completed T1 T2 IMPEL | Implementer-Led Evaluation and Learning 66 Annex D: Data Collection Tool T3 T4 T5 T6 (6ème) T7 (5ème) T8 (4ème) T9 (3ème) T10 (2nd) T11 (1ère) T12 (Terminale) 1ère année 2ème année 3ème année 4ème année ≥ 5ème année Don't Know Refused Did [B02] attend school at any time during the 2020 school year? Yes No During this school year, what grade is [B02] attending? Pre-primary Primary Secondaire 1 Secondaire 2 Superieur Don't Know Refused Is [B02] currently present? Yes No end repeat Just to make sure that I have a complete listing: are there any other persons such as small children or infants that we have not listed? IF “YES,” TO THIS QUESTIONS THEN ADD THE HOUSEHOLD MEMBER TO THE ROSTER. THEN, COLLECT THE REMAINING COLUMNS OF INFORMATION FOR EACH MEMBER, ONE PERSON AT A TIME. Yes No Yes Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 67 Are there any other people who may not be members of your family, such as domestic servants, lodgers, or friends who have lived and eaten here for at least 6 of the last 12 months? IF “YES,” TO THIS QUESTIONS THEN ADD THE HOUSEHOLD MEMBER TO THE ROSTER. THEN, COLLECT THE REMAINING COLUMNS OF INFORMATION FOR EACH MEMBER, ONE PERSON AT A TIME. No Does anyone else live here even if they are not at home now? These may include children in school or household members at work or who have migrated. IF “YES,” TO THIS QUESTIONS THEN ADD THE HOUSEHOLD MEMBER TO THE ROSTER. THEN, COLLECT THE REMAINING COLUMNS OF INFORMATION FOR EACH MEMBER, ONE PERSON AT A TIME. Yes No So, from what you mentioned, including yourself there are 1 people in your household. Is this correct? Yes No There are/is X children in this household under 6 There are/is X women in this Household between 15 and 49 There are/is X farmers in this Household Food Access Who is the main food preparer in your household? A food preparer is the person responsible for household food preparation. Select Name [ENUMERATOR: If it is not the respondent] can I speak with the main food preparer in your household? Select Name C01: [ENUMERATOR: Is this the first time this person has consented?] Yes No IMPEL | Implementer-Led Evaluation and Learning 68 Annex D: Data Collection Tool Consent Yes No Not Available Now I would like to ask you about the types of foods that you or the majority of your household members ate during the past 7 days. How many days over the last 7 days, did members of your household eat the following food items, prepared and/or consumed at home? Any bread, rice, noodles, biscuits, or other foods made from millet, sorghum, maize, rice, or wheat 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any potatoes, yams, manioc, cassava, or any other foods made from roots or tubers? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any vegetables? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any fruits? 1 day 2 days Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 69 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any beef, pork, lamb, goat, rabbit, wild game, chicken, duck, or other birds, liver, kidney, heart, or other organ meats? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any eggs? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any fresh or dried fish or shellfish? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any foods made from beans, peas, lentils, or nuts? 1 day 2 days 3 days 4 days IMPEL | Implementer-Led Evaluation and Learning 70 Annex D: Data Collection Tool 5 days 6 days 7 days Not consumed Don't know Refuse Any cheese, yogurt, milk, or other milk products? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any foods made with oil, fat, or butter? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any sugar or honey? 1 day 2 days 3 days 4 days 5 days 6 days 7 days Not consumed Don't know Refuse Any other foods, such as condiments, coffee or tea? 1 day 2 days 3 days 4 days 5 days 6 days Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 71 7 days Not consumed Don't know Refuse Now I would like to ask you some questions about your food consumption during the last 30 days. During the past 30 days, was there a time when you or others in your household were worried you would not have enough food to eat because of a lack of money or other resources? Yes No Don't Know During the past 30 days, was there a time when you or others in your household were unable to eat healthy and nutritious food because of a lack of money or other resources? Yes No Don't Know During the past 30 days, was there a time when you or others in your household ate only a few kinds of foods because of a lack of money or other resources? Yes No Don't Know During the past 30 days, was there a time when you or others in your household had to skip a meal because there was not enough money or other resources to get food? Yes No Don't Know During the past 30 days, was there a time when you or others in your household ate less than you thought you should because of a lack of money or other resources? Yes No Don't Know During the past 30 days, was there a time when your household did not have food because of a lack of money or other resources? Yes No Don't Know During the past 30 days, was there a time when you or others in your household were hungry but did not eat because there was not enough money or other resources for food? Yes No Don't Know During the past 30 days, was there a time when you or others in your household went without eating for a whole day because of a lack of money or other resources? Yes No Don't Know IMPEL | Implementer-Led Evaluation and Learning 72 Annex D: Data Collection Tool We would like to speak with the primary caregiver of each child (if they are different). We will start with the respondents children then move to the other caregiver's children. begin repeat Please select the first name of children under 5 from the list you would like to speak about [We will ask about all the children under 5] Select Name Please select the name of the primary caregiver for [D03A] Select Name If the primary caregiver is different than the person you are speaking to, give/read the consent form to them and ask for consent to continue D: [ENUMERATOR: Is this the first time this person has consented?] Yes No Consent Has [D03B] agreed to participate in the survey? Yes No Not Available What is [D03A]’s sex? Male Female Now I would like to ask you some questions about [D03A]. Does [D03A] have a health/vaccination card with the birth date recorded? Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 73 IF THE HEALTH/VACCINATION CARD IS SHOWN AND THE RESPONDENTCONFIRMS THE INFORMATION IS CORRECT, RECORD THE DATE OF BIRTH AS DOCUMENTED ON THE CARD.In what day, month, and year was [D03A] born? What is his/her birthday?RECORD BIRTH DAY, MONTH AND YEAR Date [D03A] was [D06B_age] years old on his/her last birthday VERIFY AGE IN COMPLETE YEARS [D03A] is [D06B_months] months old VERIFY AGE IN COMPLETED MONTHS So you have told me that [D03A] is [D06B_age] years old or [D06B_months] months old. Is this correct? If not please adjust the birthday. Yes No Has [D03A] ever been breastfed? Yes No Don't Know Was [D03A] breastfed yesterday during the day or at night? Yes No Don't Know Sometimes babies are fed breast milk in different ways, for example by spoon, cup, or bottle. This can happen when the mother cannot always be with her baby. Sometimes babies are breastfed by another woman or given breast milk from another woman by spoon, cup, bottle, or some other way. This can happen if a mother cannot breastfeed her own baby. Did [D03A] consume breast milk in any of these ways yesterday during the day or at night? Yes No IMPEL | Implementer-Led Evaluation and Learning 74 Annex D: Data Collection Tool Now I would like to ask you about some medicines and vitamins that are sometimes given to infants. Was [D03A] given any vitamin drops or other medicines as drops yesterday during the day or at night? Yes No Don't Know Was [D03A] given SRO yesterday during the day or at night? Yes No Don't Know Next, I would like to ask you about some liquids that [D03A] may have had yesterday during the day or at night. Did [D03A] have any [item from list]: READ THE LIST OF LIQUIDS STARTING WITH “PLAIN WATER.” Plain water? Yes No Don't Know Any kind of infant formula? Yes No Don't Know Did [D03A] have any milk such as tinned, powdered, or fresh animal milk? Yes No Don't Know Did [D03A] have any juice or juice drinks? Yes No Don't Know Clear broth? Yes No Don't Know Yogurt? Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 75 Did [D03A] have any thin porridge? LIMIT TO PORRIDGE MIXED VERY THIN OR THICK DRINKS MADE FROM CEREAL. Yes No Don't Know Any other liquids such as gripe water, glucose water, sugar water? Yes No Don't Know Any other liquids? Yes No Don't Know Specify the other liquid(s) Text How many times yesterday during the day or at night did [D03A] consume any formula? Number How many times yesterday during the day or at night did [D03A] consume any milk? Number How many times yesterday during the day or at night did [D03A] consume any yogurt? Number Now I would like to ask you about (other) liquids or foods that [D03A] ate yesterday during the day or at night. I am interested in whether your child had the item even if it was combined with other foods. For example, if [D03A] ate a millet porridge made with a mixed vegetable sauce, you should reply yes to any food I ask about that was an ingredient in the porridge or sauce. Please do not include any food used in a small amount for seasoning or condiments (like chili, spices, herbs, or fish powder), I will ask you about those foods separately. Yesterday, during the day and night, did [D03A] eat any...? Food made from grains, such as bread, biscuits, rice, pasta, noodles, or porridge Yes No Don't Know Pumpkin, carrots, squash, sweet potatoes or any other foods made from dark yellow or orange- fleshed roots or tubers Yes No IMPEL | Implementer-Led Evaluation and Learning 76 Annex D: Data Collection Tool Don't Know White potatoes, white yams, cassava, or any other foods made from roots or tubers Yes No Don't Know Any dark green leafy vegetables comme feuille de manioc, feuille de haricot, épinard, feuille de patate ? Yes No Don't Know Any other vegetables, like fresh green beans, tomato, etc.? Yes No Don't Know Kaki, mangues et papayes mures, abricots, melons oranges ou tout fruit à chair jaune foncé ou orangée? Yes No Don't Know Any other fruits like bananas, apples, avocado, cactus, tamarind etc.? Yes No Don't Know Liver, kidney, heart, or other organ meats from domesticated animals such as cow, pig, goat, chicken or duck Yes No Don't Know Any meat from domesticated animals such as beef, pork, lamb, goat, chicken, or duck Yes No Don't Know Liver, kidney, heart, or other organ meats from wild animals, such as hérissons, chats sauvages, chauve-souris, birds, wild pigeons, wild fowl, wild boar, monkey, rodents, wild goat Yes No Don't Know Any flesh from wild animals, such as hérissons, chats sauvages, chauve￾souris...? Yes No Don't Know Eggs? (chicken, turkey, fowl, duck) Yes No Don't Know Fresh or dried fish, shellfish, crabs, or seafood Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 77 Any foods made from beans, peas, lentils, groundnuts or other legumes? Yes No Don't Know Any foods made from nuts and seeds such as mahabibo, (sakoa dans le Sud)? Yes No Don't Know Cheese, lait caille, or other milk products Yes No Don't Know Any oil, fats, or butter, or foods made with any of these Yes No Don't Know Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or biscuits Yes No Don't Know Condiments for flavor, such as chilies, spices, persil, oregon, laurier...? Yes No Don't Know Vers, escargots, insectes (locustes, chenille…)? Yes No Don't Know Did [D03A] eat any solid, semisolid, or soft foods yesterday during the day or at night? IF “YES” PROBE: What kind of solid, semi-solid, or soft foods did [D03A] eat? Yes No Go back and record foods eaten. Then continue How many times did [D03A] eat solid, semi-solid, or soft foods other than liquids yesterday during the day or at night? Integer Has [D03A] had diarrhea in the last 2 weeks? DIARRHEA IS DEFINED AS 3 OR MORE WATERY STOOLS THE TERM(S) USED FOR DIARRHEA SHOULD ENCOMPASS THE EXPRESSIONS USED FOR ALL FORMS OF DIARRHEA, INCLUDING BLOODY STOOLS (CONSISTENT WITH DYSENTERY), WATERY STOOLS, ETC. Yes No IMPEL | Implementer-Led Evaluation and Learning 78 Annex D: Data Collection Tool Was there any blood in the stools? Yes No Now I would like to know how much [D03A] was given to drink during the diarrhea (including breastmilk). Was he/she given less than usual to drink, about the same amount, or more than usual to drink? IF LESS, PROBE: Was he/she given much less than usual to drink or somewhat less? Much less Somewhat less About the same More Nothing to drink Don't know Refuse When [D03A] had diarrhea, was he/she given less than usual to eat, about the same amount, more than usual, or nothing to eat? IF LESS, PROBE: Was he/she given much less than usual to eat or somewhat less? Much less Somewhat less About the same More Nothing to eat Don't know Refuse Was he/she given any of the following to drink at any time since he/she started having the diarrhea: A fluid made from a special packet called ODIVA (SRO)? A government-recommended homemade fluid “1 sy 8”? None of the above Don't know Refuse end repeat Women's nutrition, breastfeeding, and antenatal care Now we would like to speak with each woman of reproductive age in the household. begin repeat Please select a name Select Name E: [ENUMERATOR: Is this the first time this person has consented?] Yes No Consent Yes No Not Available Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 79 Now I would like to ask you about liquids or foods that you ate yesterday during the day or at night. I am interested in whether you had the item even if it was combined with other foods. For example, if you ate a millet porridge made with a mixed vegetable sauce, you should reply yes to any food I ask about that was an ingredient in the porridge or sauce. Please do not include any food used in a small amount for seasoning or condiments (like chilies, spices, herbs, or fish powder), I will ask you about those foods separately. A small amount for seasoning or condiments (like chilies, spices, herbs, or fish powder), I will ask you about those foods separately. Food made from grains, such as bread, biscuits, rice, pasta, noodles, or porridge Yes No Don't Know Pumpkin, carrots, squash, sweet potatoes or any other foods made from dark yellow or orange- fleshed roots or tubers Yes No Don't Know White potatoes, white yams, cassava, or any other foods made from roots or tubers Yes No Don't Know Any dark green leafy vegetables comme feuille de manioc, feuille de haricot, épinard, feuille de patate ? Yes No Don't Know Any other vegetables, like fresh green beans, tomato, etc.? Yes No Don't Know Kaki, mangues et papayes mures, abricots, melons oranges ou tout fruit à chair jaune foncé ou orangée? Yes No Don't Know Any other fruits like bananas, apples, avocado, cactus, tamarind etc.? Yes No Don't Know Liver, kidney, heart, or other organ meats from domesticated animals such as cow, pig, goat, chicken or duck Yes No Don't Know IMPEL | Implementer-Led Evaluation and Learning 80 Annex D: Data Collection Tool Any meat from domesticated animals such as beef, pork, lamb, goat, chicken, or duck Yes No Don't Know Liver, kidney, heart, or other organ meats from wild animals, such as hérissons, chats sauvages, chauve-souris, birds, wild pigeons, wild fowl, wild boar, monkey, rodents, wild goat Yes No Don't Know Any flesh from wild animals, such as hérissons, chats sauvages, chauve￾souris...? Yes No Don't Know Eggs? (chicken, turkey, fowl, duck) Yes No Don't Know Fresh or dried fish, shellfish, crabs, or seafood Yes No Don't Know Any foods made from beans, peas, lentils, groundnuts or other legumes? Yes No Don't Know Any foods made from nuts and seeds such as mahabibo, (sakoa dans le Sud)? Yes No Don't Know Cheese, yogurt, lait caille, or other milk products Yes No Don't Know Any oil, fats, or butter, or foods made with any of these Yes No Don't Know Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or biscuits Yes No Don't Know Condiments for flavor, such as chilies, spices, persil, oregon, laurier...? Yes No Don't Know Vers, escargots, insectes (locustes, chenille…)? Yes Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 81 No Don't Know Now I would like to ask you about pregnancies and births you may have had. Are you currently pregnant? Yes No Don't Know Refused Have you ever been pregnant? Yes No Have you ever given birth? Yes No When was the last time you gave birth to a boy or girl who was born alive? IF THE RESPONDENT DOES NOT KNOW THE BIRTHDATE ASK: Do you have a health/vaccination card for that child with the birthdate recorded? IF THE HEALTH/VACCINATION CARD IS SHOWN, RECORD THE DATE OF BIRTH AS DOCUMENTED ON THE CARD If day is not known, enter '15' above Is this child alive today? Yes No What is the name of your child who was born on [E31]? Select Name Did you see anyone for antenatal care during the pregnancy? Yes No Whom did you see? Anyone else? Enumerator note: PROBE TO IDENTIFY EACH TYPE OF CAREGIVER AND RECORD ALL MENTIONED DOCTOR NURSE MIDWIFE CLINICAL OFFICER SKILLED BIRTH ATTENDANT TRADITIONAL BIRTH ATTENDANT OTHER DON'T KNOW REFUSE Other IMPEL | Implementer-Led Evaluation and Learning 82 Annex D: Data Collection Tool How many months pregnant were you when you first received antenatal care during this pregnancy? 88 = Don’t know integer How many times did you receive antenatal care during this pregnancy? 88 = Don’t know integer ENUMERATOR: [Is this person married?] Yes No Now I would like to ask about family planning the various ways or methods a couple can use to delay or avoid a pregnancy. Have you ever heard of...? Female Sterilization Yes No Don't Know Refused Male Sterilization Yes No Don't Know Refused IUD Yes No Don't Know Refused Injectable Yes No Don't Know Refused Implants Yes No Don't Know Refused Contraceptive Pill Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 83 Refused Male Condom Yes No Don't Know Refused Female Condom Yes No Don't Know Refused Diaphragm with spermicidal foam, cream or gel. Yes No Don't Know Refused Emergency Contraception Yes No Don't Know Refused Standard Days Method Yes No Don't Know Refused Locational Amenorrhea Method (LAM). Yes No Don't Know Refused Have you heard of any other modern methods that women or men can use to avoid pregnancy? Yes No Don't Know Refused Specify Text Did you or your partner use any of these modern contraceptive methods in the past 12 months? Yes No Don't Know Refused Respondent Husband/Partner IMPEL | Implementer-Led Evaluation and Learning 84 Annex D: Data Collection Tool Who usually makes the decision on whether or not you should use contraception, you, your husband/partner, you and your husband/partner jointly, or someone else? Respondent jointly with someone else Other Don't know Refuse Specify Text When making this decision with your husband/partner, would you say that your opinion is more important, equally important, or less important than your husband’s/partner’s opinion? More important Equally important Less important Don't know Refuse Are you or your partner currently doing something or using any method to delay or avoid getting pregnant? Yes No Don't Know Refused Which method are you using? FEMALE STERILIZATION MALE STERILIZATION IUD INJECTABLES IMPLANTS PILL MALE CONDOM FEMALE CONDOM DIAPHRAGM WITH SPERMICIDE EMERGENCY CONTRACEPTION STANDARD DAYS METHOD LACTATIONAL AMEN METHOD RHYTHM METHOD WITHDRAWAL OTHER MODERN METHOD OTHER TRADITIONAL METHOD DON'T KNOW REFUSE end repeat Household water, sanitation, and hygiene Now I would like to ask if there is an ADULT IN THE HOUSEHOLD that we can speak to about the household’s water, sanitation, and hygiene. Select Name F: [ENUMERATOR: Is this the first time this person has consented?] Yes Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 85 No Consent YesNo What is currently the main source of drinking water for members of your household? Piped into dwelling Piped to yard/plot Piped to neighbor Public tap/standpipe Tube well or borehole Protected well Unprotected well Protected spring Unprotected spring Rainwater collection Tanker truck Cart with small tank Surface water (river/dam/ lake/pond/ stream/canal/ irrigation channel) Bottled water Other (specify) Don't know Refuse Specify Text Where is that water source located? In own dwelling In own yard/plot Elsewhere Don't know Refuse How long does it take to go there, get water, and come back? [In minutes] Number Is water available from this source year round? Yes No In the last two weeks, was water unavailable from this source for a day or longer? Yes No Do you do anything to the water to make it safer to drink? Yes No What do you usually do to make the water safer to drink? Anything else? RECORD ALL MENTIONED ENUMERATOR SHOULD VERIFY AS FOLLOWS: Chlorination Flocculent/Disinfectant (physio￾chemical disinfection) IMPEL | Implementer-Led Evaluation and Learning 86 Annex D: Data Collection Tool CHLORINATION: AN ENUMERATOR CARRYING OUT THE CHLORINE RESIDUAL TEST OBTAINS POSITIVE RESULTS (CT+). FILTRATION: ENUMERATORS ARE ABLE TO SEE THE FILTER AND VERIFY THAT WATER IS IN THE FILTER’S BOTTOM CONTAINER OR COMES OUT OF THE FILTER’S TAP (FILTER +). SOLAR DISINFECTION: THE ENUMERATOR IS ABLE TO SEE THAT BOTTLES FILLED WITH WATER ARE EXPOSED TO THE SUN AND SELF REPORTS BY SURVEY PARTICIPANTS INDICATE THAT BOTTLES ARE EXPOSED TO THE SUN FOR AT LEAST SIX HOURS PER DAY OF EXPOSURE (SODIS+) ON SUNNY DAYS AND UP TO TWO DAYS ON CLOUDY DAYS. BOILING: SURVEY PARTICIPANTS REPORT THAT BOILING OCCURRED UNTIL WATER COMES TO A ROLLING BOIL AND THE SAME CONTAINER WHERE WATER IS BOILED IS USED TO STORE BOILED WATER (BOIL+). Filtration (physical removal) Solar disinfection (UV/heat disinfection Boiling Other (specify) Don’t know Refuse Specify Text What types of containers do you usually use to collect water for your household? Small jerry can (5-9 liter) Large jerry can (20 liter) Small bucket (5-9 liter) Large bucket (10-20 liter) Clay jars or pots (10-20 liter) Large rolling container (90 liter) Large plastic drum (150- 200 liter) Other (specify type and volume) Do not collect water Don't know Refuse Specify type and volume Number begin repeat How many [F10A_name]? Do you usually bring to fill on one trip to collect water? How often do you usually fill the [F10A_name]? IF RESPONDENT CANNOT GIVE CLEAR RESPONSE, THEN OBSERVE THE TOILET AND RECORD THE CORRECT RESPONSE Twice every day Once every day Once every other day Once every third day Other (specify) Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 87 Specify end repeat Now I'm going to ask you questions about the type of toilet that your household uses What kind of toilet facility do members of your household usually use? Flush to piped sewer system Flush to septic tank Flush to pit latrine Flush to somewhere else Flush, don’t know where PIT LATRINE Ventilated improved pit latrine Pit latrine with slab Pit latrine without slab/open pit Composting toilet Bucket toilet Hanging toilet/hanging latrine No facility/bush/field Other (specify) Don't know Refuse Specify Text Do you share this facility with other households? Yes No Don't Know Refused How many households use this toilet facility? 95 = 10 or more households -88 = Don’t know Please show me where members of your household most often wash their hands. Observed Not observed, not in dwelling/yard/plot Not observed, no permission to see Not observed, other reason Don't know Refuse OBSERVATION ONLY: OBSERVE PRESENCE OF WATER AT THE PLACE FOR HANDWASHING Water is available Water is not available IMPEL | Implementer-Led Evaluation and Learning 88 Annex D: Data Collection Tool OBSERVATION ONLY: OBSERVE PRESENCE OF SOAP, ASH OR DETERGENT AT THE PLACE FOR HANDWASHING. Soap, ash or detergent (bar, liquid, powder, paste) Mud or sand Other cleansing agent None Agriculture Now, I would like to speak to the members of the household who make the decisions about how to farm, raise livestock, or go fishing and ask them questions about their work begin repeat Select the name of the farmer and fishers Ask all farmers in the household Farmers, including herders and fishers, are: 1) women and men who have access to a plot of land (even if very small) over which they make decisions about what will be grown, how it will be grown, and how to dispose of the harvest; AND/OR 2) women and men who have animals and/or aquaculture products over which they have decision-making power. Farmers produce food, feed, and fiber, where "food" includes agronomic crops (crops grown in large scale, such as grains), horticulture crops (vegetables, fruit, nuts, berries, and herbs), animal and aquaculture products, as well as natural products (e.g., non-timber forest products, wild fisheries). These farmers may engage in processing and marketing of food, feed, and fiber and may reside in settled communities, mobile pastoralist communities, or refugee/internally displaced person camps. An adult member of the household who does farm work but does not have decision-making responsibility over the plot OR animals would not be considered a "farmer." For instance, a woman working on her husband's land who does not control a plot of her own would not be interviewed. Select Name G: [ENUMERATOR: Is this the first time this person has consented?] Yes No Not Available Consent Yes No Do you have access to a plot of land (even if very small) over which you make decisions about what will be grown or how it will be grown or how to dispose of the harvest? VERIFY THAT RESPONDENT UNDERSTANDS THAT HAVING “ACCESS” AND MAKING “DECISIONS” OVER A PLOT OF LAND DOES Yes No Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 89 NOT REQUIRE “LEGAL OWNERSHIP” OF THE LAND. A PERSON CAN HAVE ACCESS AND MAKE DECISIONS OVER A PLOT OF LAND (E.G., A SMALL VEGETABLE GARDEN EVEN IF HE/SHE DOES NOT LEGALLY OWN THE LAND. IF THERE IS JOINT DECISION- MAKING POWER OVER ONE SINGLE PLOT OF LAND (OR SET OF ANIMALS), ALL FARMERS THAT ARE INVOLVED IN THE DECISION MAKING SHOULD BE INTERVIEWED. Do you own, rent, or sharecrop the land over which you make decisions? Own Rent Sharecrop Don't know Refuse specify Text Thinking of all the plots for which you are a decision-maker, what was the total area cultivated in the past 12 months? (This includes land not owned by the farmer) INCLUDES PLOTS OF LAND ALLOCATED TO FARMERS FOR GROWING CROPS BUT NOT OWNED. Number Units Hectares Square Meters Steps Ares Other Don't know Refuse Do you have animals over which you make decisions about their management or how to dispose of the production? Yes No Do you have decision making power over fishing activities and actively fish? Yes No Did you take any agricultural credit, in cash or in kind, in the PAST 12 MONTHS? PROBES: Agri-dealeres, contract farming, village savings and credit groups, farmers group, MFI, Bank etc. Yes No Don't Know Refused Did you save any cash in the PAST 12 MONTHS? Yes No Yes IMPEL | Implementer-Led Evaluation and Learning 90 Annex D: Data Collection Tool Some people insure their agricultural production against negative unexpected circumstances, such as drought, floods, and pests by paying for this service. Did you buy agricultural insurance in the [PAST 12 MONTHS]? No Now I want to ask you about farming and livestock practices about which you make decisions. This includes practices about crops and animal products Do you cultivate any crops or raise/buy livestock with the specific intention to sell or resell to earn income? Yes No Which of the following activities related to farming and animal husbandry have you practiced or received services for during the PAST 12 MONTHS? Purchase inputs for crops Purchase inputs for livestock Use of training and extension services Contract farming Drying produce Processing produce Trading or marketing produce through agro dealers and/or community associations Use of formal marketing systems for livestock Did not practice any of theseactivities in the past 12 months Don't know Refuse Thinking of all the plots for which you are a decision-maker, what crop(s) do you cultivate in the PAST 12 MONTHS? Common Bean Maize Peanut Voandzou Cassava Sweet potatoes Lima beans Sorghum Carrot Potatoes Cabbage Onion Garlic Chinese cabbage Tomato Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 91 Lettuce Melon Cucumber Turmeric Chili pepper Lablab beans Cowpea Chickpea Rice bean Velvet bean Jack bean Gluricidia Tephrosia Vetiver Acacia Papaya Banana Pineapple Mangos Millet Castor Moringa Sea cucumber Red Algea Pigeon Pea Australian Pine Tree Sisals Coconut tree Tropical Lucern Congo Grass, Surinam Grass, Creeping Signal Grass etc. Don't know Refuse Did you use any of these practices for cultivation of Cassava in the PAST 12 MONTHS? Organic manure Compost Performing weeding Sowing after useful rain Crop association Crop rotation Use of improved seeds Use of climate information (rain forecast, disaster risks, etc.) Wind break (brise vent) Soil cover (couverture de sol) IMPEL | Implementer-Led Evaluation and Learning 92 Annex D: Data Collection Tool Did not use any of these practices in the past 12 months Don't know Refuse Did you use any of these practices for cultivation of Sorghum in the PAST 12 MONTHS? Organic manure Compost Performing weeding Sowing after useful rain Crop association Crop rotation Use of improved seeds Use of climate information (rain forecast, disaster risks, etc.) Wind break (brise vent) Soil cover (couverture de sol) Did not use any of these practices in the past 12 months Don't know Refuse Did you use any of these practices for cultivation of Cowpea in the PAST 12 MONTHS? Organic manure Compost Performing weeding Sowing after useful rain Crop association Crop rotation Use of improved seeds Use of climate information (rain forecast, disaster risks, etc.) Wind break (brise vent) Soil cover (couverture de sol) Did not use any of these practicesin the past 12 months Don't know Refuse Now I am going to ask you questions about plots of land where you are the PRIMARY decision￾maker. Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 93 A PLOT IS A CONTINUOUS PIECE OF LAND ON WHICH A UNIQUE CROP OR A MIXTURE OF CROPS IS GROWN UNDER A CONSISTENT CROP MANAGEMENT SYSTEM. IT MUST BE CONTINUOUS AND SHOULD NOT BE SPLIT BY A PATH OF MORE THAN ONE METER IN WIDTH. PLOT BOUNDARIES ARE DEFINED ACCORDING TO THE CROPS GROWN AND THE OPERATOR. Thinking of all the plots for which you are the primary decision-maker, how many separate plots of land do you cultivate crops on? Number begin repeat For plot #1: Is this plot being managed jointly by more than one farmer? Yes No ENUMERATOR: CONFIRM. IS THIS THE FIRST TIME SOMEONE HAS ANSWERED QUESTIONS ABOUT THIS PLOT? Yes No What is the area of plot #1? Number Units Hectares Square Meters Steps Ares Other Don't know Refuse In the past 12 months, did you plant cassava, sorghum or cowpea on plot #1? Cassava Sorghum Cowpea None of the above Don't know Refuse What percentage of Plot # 1 was cultivated with Cassava? (percentage) [IN PERCENT E.G. 0-100%] Integer What percentage of Plot # 1 was cultivated with Sorghum? (percentage) Integer IMPEL | Implementer-Led Evaluation and Learning 94 Annex D: Data Collection Tool What percentage of Plot # 1 was cultivated with Cowpea? (percentage) Integer end repeat Now I'm going to ask you about production for specific crops across all plots that you were the primary farmer and decision maker for. ENUMERATOR: Ensure that the answers to the following questions are about crops that have not already been counted by another farmer. ENUMERATOR: CONFIRM. IS THIS THE FIRST TIME SOMEONE HAS ANSWERED QUESTIONS ABOUT PRODUCTION OF COWPEAS, SORGHUM, OR CASSAVA ON THESE PLOTS? Yes No In total how much Cassava did you harvest in the past 12 MONTHS? 00 = None -88 = Don't Know -99 = Refused Integer Units OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Other (specify) Text In total how much Sorghum did you harvest in the past 12 MONTHS? 00 = None -88 = Don't Know -99 = Refused Units OZ KG Ton Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 95 Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Other (specify) In total how much Cowpea did you harvest in the past 12 MONTHS? 00 = None -88 = Don't Know -99 = Refused Number Units OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Other (specify) Text In total how much Cassava did you sell in the past 12 MONTHS? 00 = None -88 = Don't Know -99 = Refused Number Units OZ KG IMPEL | Implementer-Led Evaluation and Learning 96 Annex D: Data Collection Tool Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Other (specify) Text Who was the main buyer of your harvested Cassava? Relative/Friend Local market Private trader Ag co-op Other (specify) Don't know Refuse Other (specify) In total how much Sorghum did you sell in the past 12 MONTHS? 00 = None -88 = Don't Know -99 = Refused Number Units OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 97 Other (specify) Don't know Refuse Other (specify) Who was the main buyer of your harvested Sorghum? Relative/Friend Local market Private trader Ag co-op Other (specify) Don't know Refuse Other (specify) text In total how much Cowpea did you sell in the past 12 MONTHS? 00 = None -88 = Don't Know -99 = Refused number Units OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Other (specify) Who was the main buyer of your harvested Cowpea? Relative/Friend Local market Private trader Ag co-op Other (specify) Don't know IMPEL | Implementer-Led Evaluation and Learning 98 Annex D: Data Collection Tool Refuse Other (specify) How much of the harvested cassava was consumed by your household? number Units OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Other (specify) text How much of the harvested sorghum was consumed by your household? Units OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 99 Other (specify) Text How much of the harvested cowpea was consumed by your household? Units OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Other (specify) text Did you store any of the Cassava? Yes No Did you use any of these methods to store the Cassava in the PAST 12 MONTHS? Locally Made Storage Structures Such As Sheet Metal Silos Sealed/Airtight Bags Community Storage Facilities, Including Warehouse Receipting Did Not Use Any Of These Practices Don't Know Refuse Did you store any of the Sorghum? Yes No Did you use any of these methods to store the Sorghum in the PAST 12 MONTHS? Locally Made Storage Structures Such As Sheet Metal Silos Sealed/Airtight Bags Community Storage Facilities, Including Warehouse Receipting IMPEL | Implementer-Led Evaluation and Learning 100 Annex D: Data Collection Tool Did Not Use Any Of These Practices Don't Know Refuse Did you store any of the Cowpea? Yes No Did you use any of these methods to store the Cowpea in the PAST 12 MONTHS? Locally Made Storage Structures Such As Sheet Metal Silos Sealed/Airtight Bags Community Storage Facilities, Including Warehouse Receipting Did Not Use Any Of These Practices Don't Know Refuse Now I'm going to ask you about production for specific livestock that you were the primary farmer and decision maker for. ENUMERATOR: Ensure that the answers to the following questions are about animals that have not already been counted by another farmer. Did you raise poultry or goats in the past 12 months? Poultry (Chicken and turkey) Goats Neither Don't know Refuse ENUMERATOR: CONFIRM. IS THIS THE FIRST TIME SOMEONE HAS ANSWERED QUESTIONS ABOUT THESE POULTRY OR GOATS? Yes No Did you use any of the following practices when you cared for the goats during the PAST 12 MONTHS? Improved shelter Vaccinations Ant parasitic treatments Castration De-horning Improved fodder production Purchase of commercial animal feed Selective breeding Did not use any of these practices in the past 12 months Don't know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 101 Refuse A group of goats can include both adult goats and young goats. Adult goats are one year old or older. How many adult male goats do you own? 00 = None -88 = Don't Know -99 = Refused Number And how many adult female goats do you own? 00 = None -88 = Don't Know -99 = Refused Number Young goats are less than one year old. How many young male goats do you own? 00 = None -88 = Don't Know -99 = Refused Number And how many young female goats do you own? 00 = None -88 = Don't Know -99 = Refused Number How many of your female goats gave birth in the past year?00 = None -88 = Don't Know -99 = Refused Number How do you decide when to sell one of your goats? WHEN THERE IS A NEED FOR CASH WHEN MARKET IS GOOD (EX. FESTIVAL TIME) WHEN HER DAM IS POOR-PERFORMING WHEN HER MILK PRODUCTION FALLS BELOW A CERTAIN LEVEL WHEN SHE DOESN'T RE-BREED WHEN SHE GETS TOO OLD WHEN HERD SIZE IS NOT MANAGEABLE WHEN THERE IS NOT ENOUGH FOOD TO FEED ALL THE ANIMALS Other (specify) Don't know Refuse When decisions are made regarding selling goats, who is it that normally takes the decision? SELF PARTNER/SPOUSE OTHER HOUSEHOLD MEMBER OTHER NON-HOUSEHOLD MEMBER IMPEL | Implementer-Led Evaluation and Learning 102 Annex D: Data Collection Tool DON'T KNOW REFUSE In the past year, how many female goats did you sell? 00 = None -88 = Don't Know -99 = Refused Number Of the female goats you sold in the past year, how many were adults, over one year old? 00 = None -88 = Don't Know -99 = Refused Number In the past year, how many male goats did you sell? 00 = None -88 = Don't Know -99 = Refused Number Of the male goats you sold in the past year, how many were adults, over one year old? 00 = None -88 = Don't Know -99 = Refused Number In the past year, how many female goats did your household consume? 00 = None -88 = Don't Know -99 = Refused Number Of the female goats your household consumed in the past year, how many were adults, over one year old? 00 = None -88 = Don't Know -99 = Refused Number In the past year, how many male goats did your household consume? 00 = None -88 = Don't Know -99 = Refused Number Of the male goats you consumed in the past year, how many were adults, over one year old? 00 = None -88 = Don't Know -99 = Refused Number In the past year, how many female goats did you gift or loan out to others? 00 = None -88 = Don't Know -99 = Refused Number Of the female goats you gifted or loaned out to others in the past year, how many were adults, over one year old? 00 = None -88 = Don't Know -99 = Refused Number In the past year, how many male goats did you gift or loan out to others? 00 = None -88 = Don't Know -99 = Refused Number Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 103 Of the male goats you gifted or loaned out to others in the past year, how many were adults, over one year old? 00 = None -88 = Don't Know -99 = Refused Number In the past year, how many of your goats died? 00 = None -88 = Don't Know -99 = Refused Number In the past year, how many of your goats have been stolen? 00 = None -88 = Don't Know -99 = Refused Number What information source do you rely on the most to help you increase the production from your goats? FRIEND/NEIGHBOR COMMUNITY ANIMAL HEALTH WORKER LOCAL AGROVET SUPPLIER PRIVATE VETERINARY PHARMACY AG EXTENSION WORKER SCHOOL RADIO PROGRAM TELEVISION MOBILE PHONE MESSAGING INTERNET Other (specify) DON'T KNOW REFUSE Other (specify) text Did you use any of the following practices when you cared for the poultry during the [PAST 12 MONTHS]? Use of improved poultry variety/breed Use of improved feed Use of improved shelters Vaccinations Use of veterinary products and services (antibiotics, vitamins, etc.) Did not use any of these practices in the past 12 months Don't know Refuse In the past 12 months, how many poultry did you raise? 00 = None -88 = Don't Know -99 = Refused Number In the past 12 months, how many poultry did you sell? 00 = None -88 = Don't Know -99 = Refused Number IMPEL | Implementer-Led Evaluation and Learning 104 Annex D: Data Collection Tool In the past 12 months, how many POULTRY did you consume? 00 = None -88 = Don't Know -99 = Refused Number In the past 12 months, how many POULTRY did you gift or loan out to others? 00 = None -88 = Don't Know -99 = Refused Number In the past 12 months, how many POULTRY died? 00 = None -88 = Don't Know -99 = Refused Number In the past 7 days, how many eggs have your poultry produced? 00 = None -88 = Don't Know -99 = Refused Number In the past 7 days how many of the eggs were sold? 00 = None -88 = Don't Know -99 = Refused Number In the past 7 days how many of the eggs were consumed? 00 = None -88 = Don't Know -99 = Refused Number In the past 7 days how many of the eggs were gifted/loaned? 00 = None -88 = Don't Know -99 = Refused Number In the past 7 days how many of the eggs were held/lost? 00 = None -88 = Don't Know -99 = Refused Number Now I'd like to ask you some questions about fishing. Did your household fish: To provide food for the household? To be sold or traded in the market? Both for food and for the market? Food only Market only Both food and market Don't know Refuse ENUMERATOR: CONFIRM. IS THIS THE FIRST TIME SOMEONE HAS ANSWERED QUESTIONS ABOUT THE FISH CAUGHT BY THE HOUSEHOLD? Yes No What was the total amount of the fish you sold in the past one year? Enter -88 for Don't Know Enter -99 for Refused Number Unit KG LB Bucket Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 105 Kapoakambary Other (specify) Don't know Refuse Other (specify) What assets to you use for fishing? Pirogue Net fishing bowl/container Other (specify) 1 Other (specify) 2 Other (specify) 3 Don't know Refuse Other (specify) 1 text Other (specify) 2 text Other (specify) 3 text Do you have access to extension or support services for your fishing? Yes No Don't Know Refused Did you use any of the following natural resources management practices or techniques during the [PAST 12 MONTHS]? Farmer managed natural regeneration (fmnr) Delimitation of pasture areas Don't know Refuse end repeat Consumption I would now like to ask some questions about recent household food consumption and other spending. Can I speak with the person(s) best able to answer these questions? Preferably the head of household or another responsible adult member Please select a name Select Name [ENUMERATOR: Is this the first time this person has consented?] Yes No Consent Yes No IMPEL | Implementer-Led Evaluation and Learning 106 Annex D: Data Collection Tool Over the past 7 days, did you or others in your household consume any of the following items? Rice Rice flour Maize grain Maize Maize grain Green maize Sorghum Wheat flour Bread Buns, scones Biscuits Spaghetti, macaroni, pasta Breakfast cereal Infant feeding cereals Other cereals 1 (specify) Other cereals 2 (specify) Other cereals 3 (specify) Did not have any of this category Don't know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H06_name] in total did your household consume in the past 7 days? Enter -88 for Don't Know Enter -99 for Refused INDICATE IN WHAT UNIT THE RESPONDENT GAVE THEIR ANSWER Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 107 Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Other (specify) Don't know Refuse other: Please specify text How much of the [H06_name] consumed by your household in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H06_name] consumed by your household in the past 7 days? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much of the [H06_name] consumed by your household in the past 7 days came from your household's own production? Enter -88 for Don't Know Enter -99 for Refused number Please tell me how much it would have cost to buy that much [H06_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much of the [H06_name] consumed by your household in the past 7 days came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number Please tell me how much it would have cost to buy that much [H06_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 7 days, did you or others in your household consume any of the following items? Cassava tubers Cassava flour IMPEL | Implementer-Led Evaluation and Learning 108 Annex D: Data Collection Tool Cassava flour Yam Breadfruit Potato Plantain, cooking banana Taro (Saonjo) Other roots, tubers, or plantains 1 (specify) Other roots, tubers, or plantains 2 (specify) Other roots, tubers, or plantains 3 (specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H12_name] in total did your household consume in the past 7 days? INDICATE IN WHAT UNIT THE RESPONDENT GAVE THEIR ANSWER Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 109 Unit/Item Other (specify) Don't know Refuse Other (specify) text How much [H12_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H12_name] consumed in the Past 7 days? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H12_name] came from your own production? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H12_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H12_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H12_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 7 days, did you or others in your household consume any of the following items? Onion, fresh or processed Cabbage, fresh or processed Carrot Zucchini Cauliflower Other cultivated green leafy vegetables, fresh or processed Gathered wild green leaves (Ananambo, Anamadinika, …) Tomato, fresh or processed Cucumber, fresh or processed Pumpkin, fresh or processed Green beans IMPEL | Implementer-Led Evaluation and Learning 110 Annex D: Data Collection Tool Pepper (green, red or yellow) Eggplant Chili pepper Mushroom, fresh or processed Other vegetables, fresh or processed 1 (specify) Other vegetables, fresh or processed 2 (specify) Other vegetables, fresh or processed 3 (specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H18_name] in total did your household consume in the past 7 days? Enter -88 for Don't Know Enter -99 for Refused number INDICATE IN WHAT UNIT THE RESPONDENT GAVE THEIR ANSWER Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 111 Other (specify) Don't know Refuse Other (specify) text How much [H18_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H18_name] consumed in the past 7 days? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H18_name] came from your own production? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H18_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H18_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H18_name] if you had to purchase it in the market today?(Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 7 days, did you or others in your household consume any of the following items? Eggs Dried fish Fresh fish Shellfish Beef Goat Pork Mutton Chicken Other poultry - guinea fowl, doves, etc. Small animal – rabbit, etc. Wild animals IMPEL | Implementer-Led Evaluation and Learning 112 Annex D: Data Collection Tool Criquests, other insects, for example Ngumbi (caterpillar) Tinned meat or fish Smoked fish Fish Soup/Sauce Other meat 1 (specify) Other meat 2 (specify) Other meat 3 (specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H24_name] in total did your household consume in the past 7 days? Enter -88 for Don't Know Enter -99 for Refused number INDICATE IN WHAT UNIT THE RESPONDENT GAVE THEIR ANSWER Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Other (specify) Don't know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 113 Refuse Other (specify) How much [H24_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H24_name] consumed in the Past 7 days? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H24_name] came from your own production? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H24_name] if you had to purchase it in the market today? (Malagasy Ariary)Enter -88 for Don't Know Enter -99 for Refused number How much [H24_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H24_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 7 days, did you or others in your household consume any of the following items? Mango Banana Citrus – orange, etc. Pineapple Papaya Guava, Chinese guava Avocado Wild fruit (Cactus, soursop…) Lychee Baobab Coconut Apple Tamarind Other fruits 1 (specify) Other fruits 2 (specify) Other fruits 3 (specify) Did not have any of this category IMPEL | Implementer-Led Evaluation and Learning 114 Annex D: Data Collection Tool Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H30_name] in total did your household consume in the past 7 days?Enter -88 for Don't Know Enter -99 for Refused Number Indicate in what unit the respondent gave their answer Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Other (specify) Don't know Refuse Other (specify) text How much [H30_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 115 How much did you spend on the [H30_name] consumed in the Past 7 days? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H30_name] came from your own production? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H30_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H30_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H30_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused end repeat Over the past 7 days, did you or others in your household consume any of the following items? Fresh milk Powdered milk Margarine - JADIDA Butter Soured milk (Abobo) Yoghurt Cheese Infant feeding formula (for bottle) Other milk 1 (specify) Other milk 2 (specify) Other milk 3 (specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H35_name] in total did your household consume in the past 7 days? Enter -88 for Don't Know Enter -99 for Refused number Indicate in what unit the respondent gave their answer Kilogramme(s) IMPEL | Implementer-Led Evaluation and Learning 116 Annex D: Data Collection Tool Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Other (specify) Don't know Refuse Other (specify) text How much [H35_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H35_name] consumed in the Past 7 days? In dollars Enter -88 for Don't Know Enter -99 for Refused Enter -88 for Don't Know Enter -99 for Refused How much [H35_name] came from your own production Enter -88 for Don't Know Enter -99 for Refused Enter -88 for Don't Know Enter -99 for Refused How much it would have cost to buy that much [H35_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused Enter -88 for Don't Know Enter -99 for Refused Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 117 How much [H35_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused Enter -88 for Don't Know Enter -99 for Refused How much it would have cost to buy that much [H35_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused Enter -88 for Don't Know Enter -99 for Refused end repeat Over the past 7 days, did you or others in your household consume any of the following items? Sugar Sugar Cane Cooking oil Coco butter Other sugars, fats, or oils 1 (specify) Other sugars, fats, or oils 2 (specify) Other sugars, fats, or oils 3(specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H41_name] in total did your household consume in the past 7 days? Enter -88 for Don't Know Enter -99 for Refused number Indicate in what unit the respondent gave their answer Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) IMPEL | Implementer-Led Evaluation and Learning 118 Annex D: Data Collection Tool Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Other (specify) Don't know Refuse Other (specify) text How much [H41_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H41_name] consumed in the Past 7 days? (Malagasy Ariary)Enter -88 for Don't Know Enter -99 for Refused number How much [H41_name] came from your own production? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H41_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H41_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H41_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 7 days, did you or others in your household consume any of the following items? Tea Coffee Cocoa, Milo Foster clark Fruit juice Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 119 Soft drinks (Coca-Cola, Fanta, Sprite, etc.) Traditional rum, locally made (betsabetsa...) Bottled water Bottled / canned beer (Carlsberg, etc.) Mangidy Wine or commercial liquor Other beverages 1 (specify) Other beverages 2 (specify) Other beverages 3 (specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H47_name] in total did your household consume in the past 7 days?Enter -88 for Don't Know Enter -99 for Refused number Indicate in what unit the respondent gave their answer Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) IMPEL | Implementer-Led Evaluation and Learning 120 Annex D: Data Collection Tool Basin Unit/Item Other (specify) Don't know Refuse Other (specify) text How much [H47_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H47_name] consumed in the Past 7 days? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H47_name] came from your own production? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H47_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H47_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H47_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 7 days, did you or others in your household consume any of the following items? Salt Spices (Curry, black pepper, clove, cinnamon) Yeast, baking powder, bicarbonate of soda Tomato sauce (bottle) Hot sauce (Sakay, etc.) Jam, jelly Sweets, candy, chocolates Honey Other spices, condiments, etc. 1 (specify) Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 121 Other spices, condiments, etc. 2 (specify) Other spices, condiments, etc. 3 (specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H53_name] in total did your household consume in the past 7 days? Enter -88 for Don't Know Enter -99 for Refused number Indicate in what unit the respondent gave their answer Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Other (specify) Don't know Refuse Other (specify) text IMPEL | Implementer-Led Evaluation and Learning 122 Annex D: Data Collection Tool How much [H53_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H53_name] consumed in the Past 7 days? Malagasy Ariary Enter -88 for Don't Know Enter -99 for Refused number How much [H53_name] came from your own production? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H53_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number How much [H53_name] came from gifts or other sources? Enter -88 for Don't Know Enter -99 for Refused number How much it would have cost to buy that much [H53_name] if you had to purchase it in the market today? (Malagasy Ariary) Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 7 days, did you or others in your household consume any of the following items? Maize - boiled or roasted (vendor) Chips (vendor) Cassava - boiled (vendor) Eggs - boiled (vendor) Chicken (vendor) Meat, skewers (vendor) Mofo gasy, Menakely, Ramanonaka, Mofo akondro Fish (vendor) Sweet potatoes Samosa, nems (vendor) Meal eaten at restaurant (Compose…) Koba Soup Slaw salad Other cooked foods from vendors 1 (specify) Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 123 Other cooked foods from vendors 2 (specify) Other cooked foods from vendors 3 (specify) Did not have any of this category Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much [H59_name] in total did your household consume in the past 7 days? Enter -88 for Don't Know Enter -99 for Refused number Indicate in what unit the respondent gave their answer Kilogramme(s) Tin Litre Cup Milliliter Piece / slice / portion Gram Sachet/tube Heap 50 Kg. bag 90 Kg. bag Boite MADCO Bunch Pail (small) Pail (large) Teaspoon Tablespoon Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Ox-cart (Unshelled) Basin Unit/Item Other (specify) Don't know Refuse IMPEL | Implementer-Led Evaluation and Learning 124 Annex D: Data Collection Tool Other (specify) text How much [H59_name] in total did your household consume in the past 7 days came from purchases? Enter -88 for Don't Know Enter -99 for Refused number How much did you spend on the [H59_name] consumed in the Past 7 days? Malagasy Ariary Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past one week (7 days), did any people who are not members of your household eat any meals in your household? Yes No Over the past one week (7 days), how many people who are not members of your household ate meals in your household? Enter -88 for Don't Know Enter -99 for Refused number Over the past one week (7 days), what was the total number of meals that were shared with people who are not members of your household? Enter -88 for Don't Know Enter -99 for Refused number Over the past one week (7 days), did your household purchase pet food for family pets like a cat or a dog? Yes No How much did you spend on pet food last week? Enter -88 for Don't Know Enter -99 for Refused number Over the past one week (7 days), were there any other expenditures on pets? Yes No How much did you spend on other purchases for pets last week? Enter -88 for Don't Know Enter -99 for Refused Over the past one week (7 days), did your household purchase or pay for any of the following items? Charcoal, Kitay Petrol Cigarettes or other tobacco Candles Rickshaw (Pousse-pousse) Pirogue (lakana) Matches Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 125 Newspapers or magazines Public transport - Bicycle Taxi (include any used for school under education costs; include any used for obtaining health care under health expenditures) Public transport - Bus/Minibus (include any used for school under education costs; include any used for obtaining health care under health expenditures) Public transport - Other (truck, oxcart, etc.) (include any used for school under education costs; include any used for obtaining health care under health expenditures) Other 1 (specify) Other 2 (specify) Other 3 (specify) None of these options Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much did you pay for [H72_name]? [In the past 7 days] Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past 30 DAYS (one month), did your household use or buy any of the following items? Milling fees for grains (not including cost of grain itself), grain Bar soap (body soap or clothes soap) Clothes soap (powder, paste) Toothpaste, toothbrush Toilet paper Glycerin, Vaseline, skin creams, coconut oil, green clay Other personal products (shampoo, razor blades, cosmetics, hairproducts, etc.) Light bulbs IMPEL | Implementer-Led Evaluation and Learning 126 Annex D: Data Collection Tool Postage stamps or other postal fees (Frais d'envoi pour le taxi - brousse ou DHL) Donations - to church, charity, beggar, etc. Petrol or diesel Motor vehicle service, repair, or parts Bicycle service, repair, or parts Wages paid to servants Repairs to household and personal items (radios, watches, etc., excluding battery purchases) Utilities: Natural gas Utilities: Electricity Utilities: Water Batteries Recharging of batteries, cell phones, etc. Air time for cell phones Anything related to illnesses and injuries, including for medicine, tests, consultation, & in-patient fees Medical care not related to an illness - preventative health care, prenatal visits, check-ups, etc. Non-prescription medicines, for example, Other 1 (specify) Other 2 (specify) Other 3 (specify) None of these options Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much did you pay for [H74_name]? [In the past 30 days] Enter -88 for Don't Know Enter -99 for Refused end repeat Over the past 3 months, did your household purchase or pay for any of the following items? Infant clothing Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 127 Baby nappies/diapers Boy’s clothing (trousers, shirts, jackets…) Boy’s undergarments Men’s clothing (trousers, shirt, jackets…) Men's undergarments Girl's clothing (blouse/shirt, dress/skirt…) Girl's undergarments Women’s clothing (blouse/shirt, dress/skirt…) Women’s undergarments Sarong Boys shoes Men’s shoes Girl’s shoes Women’s shoes Cloth, thread, other sewing material Laundry, dry cleaning, tailoring fees Bowls, glassware, plates, silverware, etc. Cooking utensils (cookpots, stirring spoons and whisks, etc.) Cleaning utensils (brooms, brushes, etc.) Torch / flashlight Umbrella Petrol lamp Stationery items (excluding school related) Books (excluding school related) Music or video cassette or CD/DVD Tickets for sports / entertainment events House decorations Night's lodging in rest house or hotel (excluding school or health related) Other 1: Specify Other 2: Specify Other 3: Specify None of these options Don't Know IMPEL | Implementer-Led Evaluation and Learning 128 Annex D: Data Collection Tool Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much did you pay for [H76_name]? [In the past 3 months] Enter -88 for Don't Know Enter -99 for Refused number end repeat Over the past one year (twelve months), did your household purchase or pay for any of the following items? Carpet, rugs, drapes, curtains, tsihy Linen - towels, sheets, blankets Mat - sleeping or for drying maize flour Mosquito net Mattress Sports & hobby equipment, musical instruments, toys Film, film processing, camera Cement Bricks Construction timber Purchase of land for non-farming purposes Community obligation insurance - health (MASM, etc.), auto, home, life Fines or legal fees Lobola (bride wealth) costs Marriage ceremony costs Funeral costs, exhumation, circumcision, household members Funeral costs, exhumation, circumcision, non-household members (relatives, neighbors/friends) Hospitalizations or overnight stay in any hospital – total cost for treatment Travel to and from the medical facility for any overnight stay(s) or hospitalization Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 129 Food costs during overnight stay(s) at the medical facility or hospitalization (if not already included above) Over-night(s) stay at a traditionalhealer's or faith healer's dwelling – total costs for treatment Travel costs to the traditional healer's or faith healer's dwelling for overnight stay(s) Food costs during overnight stay(s) at the traditional healer's or faith healer's dwelling Tuition, including extra tuition fees Expenditures on after school programs and tutoring School books and stationery School uniform Boarding fees (including VAT) Contribution to school building maintenance Transport to and from school Parent/Teacher Association and other related fees Cellphone Other 1: Specify Other 2: Specify Other 3: Specify None of these options Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat How much did you pay for ${H78_name}? [In the past 12 months] number end repeat Over the past one year (twelve months), did your household gather, purchase or pay for any of the following items? Wood poles, bamboo Material for the roof Grass for thatching roof or other use IMPEL | Implementer-Led Evaluation and Learning 130 Annex D: Data Collection Tool Other 1: Specify Other 2: Specify Other 3: Specify None of these options Don't Know Refused Other 1: Please specify text Other 2: Please specify text Other 3: Please specify text begin repeat What was the estimated total quantity of [H80_name] used? [In the past 12 months] Enter -88 for Don't Know Enter -99 for Refused number INDICATE IN WHAT UNIT THE RESPONDENT GAVE THEIR ANSWER OZ KG Ton Sachet/tube Heap Boite MADCO Bunch Pail (small) Pail (large) Basket (Dengu) (Shelled) Basket (Dengu) (Unshelled) Bale Basin Ox-cart (Unshelled) Other (specify) Don't know Refuse Did your household gather the [H80_name], or did your household purchase or pay for the [H80_name]? [In the past 12 months] Gathered Purchased Don't Know Refused What was the total estimated value of [H80_name] that you gathered? (Malagasy Ariary) [In the past 12 months] Enter -88 for Don't Know Enter -99 for Refused number Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 131 What was the total estimated value of [H80_name] that you purchased? (Malagasy Ariary) [In the past 12 months] Enter -88 for Don't Know Enter -99 for Refused number end repeat Do you own or are purchasing this house, is it provided to you by an employer, do you use it for free, or do you rent this house? Own Being purchased Employer provides Free Rented Don't Know Refused If you sold this dwelling today, how much would you receive for it in MALAGASY AR? (-88 does not know, -99 refused) Enter -88 for Don't Know Enter -88 for Refused number How old is this house, in years? (-88 does not know, -99 refused) Enter -88 for Don't Know Enter -99 for Refused number If you rented this dwelling out today, how much rent would you receive in MALAGASY AR? (-88 does not know, -99 refused) Enter -88 for Don't Know Enter -99 for Refused number Indicate in what unit the respondent would rent Day Week Month Year Don't Know Refused How much do you pay to rent this dwelling in MALAGASY AR? number Indicate in what unit the respondent would rent Day Week Month Year Don't Know Refused Do you pay a mortgage on this house, that is, a regular payment towards purchasing the house? Yes No IMPEL | Implementer-Led Evaluation and Learning 132 Annex D: Data Collection Tool How often do you make mortgage payments? Once a month Once every 3 months Once every 6 months Once a year Other (Specify) Don't Know Refused other: Please specify text How much do you pay each time you make a payment on your mortgage in MALAGASY AR? Enter -88 for Don't Know Enter -99 for Refused number In the past one month, how much did you spend on repairs & maintenance to this house inMALAGASY AR?Enter -88 for Don't Know Enter -99 for Refused number Does your household own any of the following items? Bed/table/chair Fan Radio Tape or CD/DVD player/VCR Television Sewing machine Kerosene/paraffin stove Electric stove; hot plate Gas stove Refrigerator Bicycle Boat Motorcycle/scooter Car Mini-bus Lorry Beer-brewing drum (Toaka, Betsabetsa) Sofa Cupboard, drawers, bureau Lantern (paraffin) Desk Clock Iron (for pressing clothes) Computer equipment & accessories Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 133 Satellite dish Solar panel Generator None of these options Don't Know Refused begin repeat How many [H92_name] do you own? Enter -88 for Don't Know Enter -99 for Refused number What is the age of [H92_name] /s? Enter -88 for Don't Know Enter -99 for Refused number If you wanted to sell these [H92_name] /s today, how much would you receive? Enter -88 for Don't Know Enter -99 for Refused number Did you purchase or pay for any of these [H92_name] /s in the last 12 months? Yes No How much did you pay for all these [H92_name] /s all together (total) in the last 12 months? Enter -88 for Don't Know Enter -99 for Refused number end repeat Gender Credit and Groups Now I’d like to ask about your household’s experience with borrowing money or other items in the past 12 months. This section is for all women and men in a union identified from the household roster (Married or living together) begin repeat Please select a name select name E: [ENUMERATOR: Is this the first time this person has consented?] Yes No Consent OBTAIN CONSENT: DOES [K02_calc] AGREE TO PARTICIPATE IN THE SURVEY? Yes No Not Available YES, CASH IMPEL | Implementer-Led Evaluation and Learning 134 Annex D: Data Collection Tool Has anyone in your household taken any loans or borrowed cash/in-kind from Non-governmental organization (NGO) in the past 12 months? YES, IN-KIND YES, CASH AND IN-KIND NO Don't know Refuse Who made the decision to borrow from non-governmental organization (NGO)? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Who makes the decision about what to do with the money/ item borrowed from non-governmental organization (NGO)? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Has anyone in your household taken any loans or borrowed cash/in-kind from Informal lender in the past 12 months? YES, CASH YES, IN-KIND YES, CASH AND IN-KIND NO Don't know Refuse Who made the decision to borrow from Informal lender? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Who makes the decision about what to do with the money/ item borrowed from Informal lender? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse YES, CASH Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 135 Has anyone in your household taken any loans or borrowed cash/in-kind from Formal lender (bank/financial institution) in the past 12 months? YES, IN-KIND YES, CASH AND IN-KIND NO Don't know Refuse Who made the decision to borrow from Formal lender (bank/financial institution)? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Who makes the decision about what to do with the money/ item borrowed from Formal lender (bank/financial institution)? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Has anyone in your household taken any loans or borrowed cash/in-kind from friends or relatives in the past 12 months? YES, CASH YES, IN-KIND YES, CASH AND IN-KIND NO Don't know Refuse Who made the decision to borrow from Friends or relatives? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Who makes the decision about what to do with the money/ item borrowed from Friends or relatives? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse YES, CASH IMPEL | Implementer-Led Evaluation and Learning 136 Annex D: Data Collection Tool Has anyone in your household taken any loans or borrowed cash/in-kind from groups based micro- finance or lending including Village Savings and Loan Association (VSLAs)/ Savings and Credit Cooperative Organization (SACCOs) in the past 12 months? YES, IN-KIND YES, CASH AND IN-KIND NO Don't know Refuse Who made the decision to borrow from Group based micro-finance or lending including Village Savings and Loan Association (VSLAs)/ Savings and Credit Cooperative Organization (SACCOs)? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Who makes the decision about what to do with the money/ item borrowed from Group based micro-finance or lending including Village Savings and Loan Association (VSLAs)/ Savings and Credit Cooperative Organization (SACCOs)? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Has anyone in your household taken any loans or borrowed cash/in-kind from informal credit/savings groups such as merry-go-rounds, tontines, funeral societies, etc. in the past 12 months? YES, CASH YES, IN-KIND YES, CASH AND IN-KIND NO Don't know Refuse Who made the decision to borrow from Informal credit/savings groups such as merry-go-rounds, tontines, funeral societies, etc.? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse Who makes the decision about what to do with the money/ item borrowed from Informal credit/savings groups such as merry-go-rounds, tontines, funeral societies, etc.? SELF PARTNER/SPOUSE OTHER HH MEMBER OTHER NON-HH MEMBER NOT APPLICABLE Don't know Refuse ENUMERATOR: [Is this person you are currently interviewing a woman?] Yes Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 137 No CRS Women's only section Now I would like to ask you a few more questions about the decisions you make in your everyday life (ENUMERATOR: Please select the name of the woman that you are interviewing) select name Over the past 12 months, how much input have you had in making decisions about the amount of production of nutrient-rich crops to keep at home for household members’ consumption? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about the amount of animal-source foods to keep for home consumption? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about seeking health services when your child/ren is ill? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about the use of inputs (e.g. fertilizers, seeds, pesticides, compost, etc.) on the household’s family plot/ plot controlled by your spouse? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about the use of inputs (e.g. fertilizers, seeds, pesticides, compost, etc.) on your own plot of land? No input Low input Medium input High input IMPEL | Implementer-Led Evaluation and Learning 138 Annex D: Data Collection Tool Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about how to use income generated from the sale of staple agriculture production from the household family plot/ plot controlled by your spouse? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about how to use income generated from the sale of staple agriculture production from own plot? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about how to use income generated from the sale of high-value agriculture production from the household family plot/ plot controlled by your spouse? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about how to use income generated from the sale of high-value agriculture production from own plot? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about what breeds to raise for livestock that you own? No input Low input Medium input High input Very High input Don't know Refuse No input Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 139 Over the past 12 months, how much input have you had in making decisions about whether to sell livestock you own yourself? Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about how to use income generated from the sale of your own livestock? (large ruminant, small ruminant, poultry) No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about on your own non-farm economic activities (running a small business, self-employment, buy-and-sell) No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about how to use the share-out from your SILC group? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about routine household purchases (food for daily consumption or other household needs)? No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about use of household revenue/financial resources to purchase water for household needs (i.e., drinking, cooking, all household’s water needs) No input Low input Medium input High input Very High input Don't know IMPEL | Implementer-Led Evaluation and Learning 140 Annex D: Data Collection Tool Refuse Over the past 12 months, how much input have you had in making decisions about use of household revenue/financial resources to purchase sanitary products or materials for household or women’s needs No input Low input Medium input High input Very High input Don't know Refuse Over the past 12 months, how much input have you had in making decisions about household building a latrine on their own land or communal land No input Low input Medium input High input Very High input Don't know Refuse Gender (Cash) ENUMERATOR: [Is this person a cash earner?] Yes No Please select the name of a cash earner select name Have you done any work in the last 12 months? Yes No During the last 12 months, were you usually paid in cash or kind for this work or were you not paid at all? Cash Only Cash and Kind In Kind Only Not Paid Don't know Refuse When you were paid in cash for this work, was the payment usually made directly to you, to your spouse/partner or to someone else in your household? Respondent Spouse/Partner Someone else in household (specify) Other (specify) Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 141 Someone else in household (specify) IF RESPONSE IS SOMEONE ELSE IN HOUSEHOLD OR OTHER, THEN SPECIFY THE RELATIONSHIP TO THE RESPONDENT. text Other (specify) text Do you usually discuss with someone about how the cash you earn will be used? Yes No With whom do you usually talk about how the cash you earn will be used? Spouse/Partner Someone Else in the household (specify) Other (specify) Don't know Refuse What is your relationship to the person you make decisions with? text What is your relationship to the person who makes decisions? text Who usually decides how the cash you earn will be used? Yourself Spouse/Partner Yourself and Spouse/Partner Jointly Yourself and Other Jointly (specify) Other (specify) Don't know Refuse What is your relationship to the person you make decisions with? text What is your relationship to the person who makes decisions? text Who usually makes decisions about making major household purchases? Yourself Spouse/Partner Yourself and Spouse/Partner Jointly Yourself and Other Jointly (specify) Other (specify) Don't know Refuse IMPEL | Implementer-Led Evaluation and Learning 142 Annex D: Data Collection Tool What is your relationship to the person you make decisions with? text What is your relationship to the person who makes decisions? text Has your spouse/partner done any work in the last 12 months? Yes No During the last 12 months, was he usually paid in cash or kind for this work or was he not paid at all? Cash only Cash and kind In kind only Not paid Don't know Refuse Who usually decides how the cash he earns will be used? Yourself Spouse/Partner Yourself and Spouse/Partner Jointly Yourself and Other Jointly (specify) Other (specify) Don't know Refuse end repeat Resilience Now I would like to speak with the head of household or another responsible adult member Please select the name of the head of household or responsible adult select name R: [ENUMERATOR: Is this the first time the respondent gave his consent?] Yes No Consent Yes No Over the last year (12 months) did your household experience? If experienced shock more than once, use the month of the most recent occurrence Yes No Don't Know Refused Variable rain/drought Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 143 Refused Excessive landslides/erosion Yes No Don't Know Refused Crop disease (rust on wheat, sorghum) Yes No Don't Know Refused Crop pests (locusts, fall army worm) Yes No Don't Know Refused Weeds (e.g., associated with striga) Yes No Don't Know Refused Livestock disease Yes No Don't Know Refused Human disease outbreaks (from contaminated water) Yes No Don't Know Refused Theft or destruction of assets Yes No Don't Know Refused Theft of livestock (raids) Yes No Don't Know Refused Delay in PSNP food assistance Yes No Don't Know Refused IMPEL | Implementer-Led Evaluation and Learning 144 Annex D: Data Collection Tool Increasing food prices Yes No Don't Know Refused Increased prices of agricultural or livestock inputs Yes No Don't Know Refused Decreased prices for agricultural or livestock products Yes No Don't Know Refused Loss of land/rental property Yes No Don't Know Refused Death of household member Yes No Don't Know Refused In which month did the following shocks start? If this is not applicable please skip to the next section Variable rain/drought February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 145 Excessive landslides/erosion February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Crop disease (rust on wheat, sorghum) February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Crop pests (locusts, fall army worm) February 2020 or before March April May June July August September October November December January February 2021 Don't know IMPEL | Implementer-Led Evaluation and Learning 146 Annex D: Data Collection Tool Refuse Weeds (e.g., associated with striga) February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Livestock disease February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Human disease outbreaks (from contaminated water) February 2020 or before March April May June July August September October November December Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 147 January February 2021 Don't know Refuse Theft or destruction of assets February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Theft of livestock (raids) February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Delay in PSNP food assistance February 2020 or before March April May June July August September October IMPEL | Implementer-Led Evaluation and Learning 148 Annex D: Data Collection Tool November December January February 2021 Don't know Refuse Increasing food prices February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Increased prices of agricultural or livestock inputs February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Decreased prices for agricultural or livestock products February 2020 or before March April May June July Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 149 August September October November December January February 2021 Don't know Refuse Loss of land/rental property February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse Death of household member February 2020 or before March April May June July August September October November December January February 2021 Don't know Refuse IMPEL | Implementer-Led Evaluation and Learning 150 Annex D: Data Collection Tool How severe was the impact of ... on your household’s income over the last 12 months? If this is not applicable please skip to the next section Variable rain/drought No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Excessive landslides/erosion No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Crop disease (rust on wheat, sorghum) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Crop pests (locusts, fall army worm) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Weeds (e.g., associated with striga) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Livestock disease No impact Slight decrease Severe increase Worst ever happened Don't know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 151 Refuse Human disease outbreaks (from contaminated water) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Theft or destruction of assets No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Theft of livestock (raids) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Delay in PSNP food assistance No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Increasing food prices No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Increased prices of agricultural or livestock inputs No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Decreased prices for agricultural or livestock products No impact Slight decrease IMPEL | Implementer-Led Evaluation and Learning 152 Annex D: Data Collection Tool Severe increase Worst ever happened Don't know Refuse Loss of land/rental property No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Death of household member No impact Slight decrease Severe increase Worst ever happened Don't know Refuse How severe was the impact of ... on your household’s food consumption over the last 12 months? If this is not applicable please skip to the next section Variable rain/drought No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Excessive landslides/erosion No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Crop disease (rust on wheat, sorghum) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 153 Crop pests (locusts) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Weeds (e.g., associated with striga) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Livestock disease No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Human disease outbreaks (from contaminated water) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Theft or destruction of assets No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Theft of livestock (raids) No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Delay in PSNP food assistance No impact Slight decrease Severe increase Worst ever happened IMPEL | Implementer-Led Evaluation and Learning 154 Annex D: Data Collection Tool Don't know Refuse Increasing food prices No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Increased prices of agricultural or livestock inputs No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Decreased prices for agricultural or livestock products No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Loss of land/rental property No impact Slight decrease Severe increase Worst ever happened Don't know Refuse Death of household member No impact Slight decrease Severe increase Worst ever happened Don't know Refuse How has your household coped with... in the past 12 months? If this is not applicable please skip to the next section How did your household cope with rain/drought over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 155 Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid fromthe government or NGO IMPEL | Implementer-Led Evaluation and Learning 156 Annex D: Data Collection Tool Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with landslides/erosion over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 157 Took out a loan (no interest) from friends or relatives within thecommunity (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food-for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with crop disease (rust on wheat, sorghum) over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing IMPEL | Implementer-Led Evaluation and Learning 158 Annex D: Data Collection Tool Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential householdexpenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 159 Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with crop pests (locusts) over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) IMPEL | Implementer-Led Evaluation and Learning 160 Annex D: Data Collection Tool Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid fromthe government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with weeds (e.g., associated with striga) over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 161 Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within thecommunity (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food-for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) IMPEL | Implementer-Led Evaluation and Learning 162 Annex D: Data Collection Tool Don't know Refuse How did your household cope with livestock disease over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential householdexpenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 163 Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with human disease outbreaks (from contaminated water) over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) IMPEL | Implementer-Led Evaluation and Learning 164 Annex D: Data Collection Tool Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid fromthe government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with theft or destruction of assets over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 165 Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within thecommunity (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO IMPEL | Implementer-Led Evaluation and Learning 166 Annex D: Data Collection Tool Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with theft of livestock (raids) over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential householdexpenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 167 Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food-for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with delay in PSNP food assistance over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing IMPEL | Implementer-Led Evaluation and Learning 168 Annex D: Data Collection Tool Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid fromthe government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 169 Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with increasing food prices over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within thecommunity (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) IMPEL | Implementer-Led Evaluation and Learning 170 Annex D: Data Collection Tool Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food-for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with increased prices of agricultural or livestock inputs over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential householdexpenses Got food on credit from local merchant Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 171 Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food-for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse IMPEL | Implementer-Led Evaluation and Learning 172 Annex D: Data Collection Tool How did your household cope with decreased prices for agricultural or livestock products over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 173 Sent children to work for money (e.g., domestic service) Received emergency food aid fromthe government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with loss of land/rental property over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential household expenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank IMPEL | Implementer-Led Evaluation and Learning 174 Annex D: Data Collection Tool Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within thecommunity (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO Participated in government or NGO food￾for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse How did your household cope with death of household member over the last 12 months? Sent livestock in search of pasture Sold livestock Slaughtered livestock Leased out land Household member migrated for work Migrate (whole family) Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 175 Sent children or adult to stay with relatives Took children out of school Moved to less expensive housing Reduced food consumption (quantity/meal; # of meals/day) Reduced non-essential householdexpenses Got food on credit from local merchant Took up new/additional work (casual labor, wage labor) Sold household items (e.g. radio, bed) Sold productive assets (e.g., plough, water pump) Took out a loan (with interest) from a (formal) bank Took out a loan (with interest) from an MFI or village savings group Took out a loan (with interest) from a money-lender Took out a loan (no interest) from friends or relatives within the community (bonding) Took out a loan (no interest) from friends or relatives outside of the community (bridging) Unconditional gift of money (not remittances) or food from family, friends, church or other group within community (bonding) Unconditional gift of money (not remittances) or food from family, friends, church or other group outside of community (bridging) Sent children to work for money (e.g., domestic service) Received emergency food aid from the government or NGO Received emergency cash transfer from the government or NGO IMPEL | Implementer-Led Evaluation and Learning 176 Annex D: Data Collection Tool Participated in government or NGO food-for-work or cash-for-work activities (conditional) Used own savings Relied on remittances from a relative that migrated Other (specify) Did nothing Engaged in spiritual efforts (e.g., prayed, sacrifices, etc.) Don't know Refuse To what extent has your household been able to recover from ... you experienced over the last 12 months? If this is not applicable please skip to the next section Variable rain/drought Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Excessive landslides/erosion Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Crop disease (rust on wheat, sorghum) Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 177 Refuse Crop pests (locusts, fall army worm) Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Weeds (e.g., associated with striga) Did not recover Fully recovered, same as beforeshock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Livestock disease Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Human disease outbreaks (from contaminated water) Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Theft or destruction of assets Did not recover Fully recovered, same as before shock IMPEL | Implementer-Led Evaluation and Learning 178 Annex D: Data Collection Tool Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Theft of livestock (raids) Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Delay in PSNP food assistance Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Increasing food prices Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Increased prices of agricultural or livestock inputs Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 179 Decreased prices for agricultural or livestock products Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Loss of land/rental property Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse Death of household member Did not recover Fully recovered, same as before shock Fully recovered, and better than before the shock Partially recovered Not affected Don't know Refuse To what extent has your ability to meet food needs returned to the level it was before all the shocks and stressors you experienced in the last 12 months? Ability to meet food needs is the same as before the shock Ability to meet food needs is better than before the shock Ability to meet food needs is worse than before the shock We did not experience a shock in the last 12 months Don't know Refuse In light of the shocks and stressors you faced in the last 12 months, to what extent do you believe you will be able to meet your food needs in the next year? Ability to meet food needs is the same as before the shock Ability to meet food needs is better than before the shock IMPEL | Implementer-Led Evaluation and Learning 180 Annex D: Data Collection Tool Ability to meet food needs is worse than before the shock Don't know What have you done to protect your household from the impact of shocks in the future? Nothing Increased savings Put aside grains (for household or animals) Switched to different crop(s) Switched to different livestock Added additional agricultural activity Added additional non-agricultural activity Diversified into agricultural livelihood Diversified into non-agricultural activity Changed from ag to non-ag livelihood Changed from non-ag to ag livelihood Acquired crop insurance Acquired livestock insurance Acquired other insurance (e.g. , health) Relocated temporarily Relocated permanently Other Don't know Refuse How many of each of the following productive assets do you own... Plough (oxen-pulled) Enter -88 for Don't Know Enter -99 for Refused number Mechanical plough Enter -88 for Don't Know Enter -99 for Refused number Sickle Enter -88 for Don't Know Enter -99 for Refused number Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 181 Pick axe Enter -88 for Don't Know Enter -99 for Refused number Axe Enter -88 for Don't Know Enter -99 for Refused number Pruning/cutting shears Enter -88 for Don't Know Enter -99 for Refused number Hoe Enter -88 for Don't Know Enter -99 for Refused number Spade or shovel Enter -88 for Don't Know Enter -99 for Refused number Traditional beehive Enter -88 for Don't Know Enter -99 for Refused number Knapsack chemical sprayer Enter -88 for Don't Know Enter -99 for Refused number Mechanical water pump Enter -88 for Don't Know Enter -99 for Refused number Motorized water pump Enter -88 for Don't Know Enter -99 for Refused number Agricultural land (hectares) Enter -88 for Don't Know Enter -99 for Refused number How many of the following livestock assets do you own... Cattle Enter -88 for Don't Know Enter -99 for Refused number Goats Enter -88 for Don't Know Enter -99 for Refused number Sheep Enter -88 for Don't Know Enter -99 for Refused number Poultry Enter -88 for Don't Know Enter -99 for Refused number IMPEL | Implementer-Led Evaluation and Learning 182 Annex D: Data Collection Tool Honey Bees Enter -88 for Don't Know Enter -99 for Refused number How many of the following household assets do you own... Improved charcoal/wood stove Enter -88 for Don't Know Enter -99 for Refused number Kerosene stove Enter -88 for Don't Know Enter -99 for Refused number Wooden bed Enter -88 for Don't Know Enter -99 for Refused number Cellphone Enter -88 for Don't Know Enter -99 for Refused number Radio Enter -88 for Don't Know Enter -99 for Refused number Tape player Enter -88 for Don't Know Enter -99 for Refused number Table Enter -88 for Don't Know Enter -99 for Refused number Bicycle Enter -88 for Don't Know Enter -99 for Refused number Cart (animal drawn) Enter -88 for Don't Know Enter -99 for Refused number Motor bike (2 or 3 wheels) Enter -88 for Don't Know Enter -99 for Refused number Generator Enter -88 for Don't Know Enter -99 for Refused number Solar lamp Enter -88 for Don't Know Enter -99 for Refused number Micro-energy (Solar, Hydro, etc. Enter -88 for Don't Know Enter -99 for Refused number Do you or any other household member regularly save cash? Yes Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 183 No Don't Know Where are the savings primarily held? At home Microfinance Institution Village savings/credit group Bank NGO Mobile banking Other Don't know Refuse Did you or anyone in your HH receive any information on Yes No Don't Know Early warning for natural hazards (flooding, hail, landslide) in the last 12 months? Yes No Don't Know Long-term changes in weather patterns in the last 12 months? Yes No Don't Know Rainfall/weather prospects for coming growing season in the last 12 months? Yes No Don't Know Water prices and availability in local boreholes, wells, etc. in the last 12 months? Yes No Don't Know Animal health (e.g., disease, epidemic, prevention) in the last 12 months? Yes No Don't Know Crop health (e.g., pest outbreaks, disease, prevention) in the last 12 months? Yes No Don't Know Improved crop production practices/technologies (CA, seeds) in the last 12 months? Yes No Don't Know Yes IMPEL | Implementer-Led Evaluation and Learning 184 Annex D: Data Collection Tool Improved livestock production practices (fodder, husbandry) in the last 12 months? No Don't Know Current market prices for live animals in the area in the last 12 months? Yes No Don't Know Market prices for animal products (milk, hides, skins, etc.) in the last 12 months? Yes No Don't Know Grazing conditions in nearby areas in the last 12 months? Yes No Don't Know Conflict or security issues in the last 12 months? Yes No Don't Know Business and investment opportunities in the last 12 months? Yes No Don't Know Opportunities for borrowing money in the last 12 months? Yes No Don't Know Market prices of the food you buy in the last 12 months? Yes No Don't Know Child nutrition and health information in the last 12 months? Yes No Don't Know Equal rights for women and men in the last 12 months? Yes No Don't Know Gender-based violence in the last 12 months? Yes No Don't Know Natural resource management in the last 12 months? Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 185 What was the main source of your information about ... Early warning for natural hazards (flooding, hail, landslide)? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Long-term changes in weather patterns? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Rainfall/weather prospects for coming growing season? Relatives, friends, neighbors IMPEL | Implementer-Led Evaluation and Learning 186 Annex D: Data Collection Tool Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Water prices and availability in local boreholes, wells, etc.? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Animal health (e.g., disease, epidemic, prevention)? Relatives, friends, neighbors Village leader Village development committee School teachers Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 187 Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Crop health (e.g., pest outbreaks, disease, prevention)? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Improved crop production practices/technologies (CA, seeds)? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders IMPEL | Implementer-Led Evaluation and Learning 188 Annex D: Data Collection Tool Elders Local market Government, rural developmentagents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Improved livestock production practices (fodder, husbandry)? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Current market prices for live animals in the area? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 189 NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Market prices for animal products (milk, hides, skins, etc.? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Grazing conditions in nearby areas? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS IMPEL | Implementer-Led Evaluation and Learning 190 Annex D: Data Collection Tool Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Conflict or security issues? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Business and investment opportunities? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 191 Don't know Refuse Opportunities for borrowing money? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural developmentagents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Market prices of the food you buy? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Child nutrition and health information? Relatives, friends, neighbors IMPEL | Implementer-Led Evaluation and Learning 192 Annex D: Data Collection Tool Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Equal rights for women and men? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Gender-based violence? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 193 Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Natural resource management? Relatives, friends, neighbors Village leader Village development committee School teachers Group in community (e.g., savings, forest users, farmers) Religious leaders Elders Local market Government, rural development agents, health/agriculture ext. NGOs Newspaper/Radio/TV Internet or SMS Private sector (input supplier, veterinarian, etc.) Police or security individuals Other Don't know Refuse Are any household members active in the following groups? Water users’ group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know IMPEL | Implementer-Led Evaluation and Learning 194 Annex D: Data Collection Tool Refuse Grazing land users’ group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Community natural resources group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Forest users’ group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Agricultural/livestock/fisheries producer’s group (including marketing groups) No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Trade and business association No HH member in group HH member does not participate in decision-making Somewhat active Very active Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 195 HH member is a leader Group does not exist in community Don't know Refuse Civic groups (people working together to improve their community) or charitable group (people working together to help people in need) No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Credit or micro-finance group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Savings groups (VSLA, merry-go-round, etc.) No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Mutual help group (e.g., ritban, afoosha, ofera/webera, burial, etc.) No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Religious group No HH member in group IMPEL | Implementer-Led Evaluation and Learning 196 Annex D: Data Collection Tool HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Mothers’ group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Women’s group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Youth group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Sports group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 197 Refuse Disaster planning group No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Civic groups (people working together to improve their community) or charitable group (people working together to help people in need) No HH member in group HH member does not participate in decision-making Somewhat active Very active HH member is a leader Group does not exist in community Don't know Refuse Does the water user’s group manage communal water for livestock in this village? Yes No Don't Know Does the water user’s group manage communal water for irrigation in this village? Yes No Don't Know Does the group decide who in the village can use communal grazing land and when they can use it? Yes No Don't Know Does the communal natural resources group decide who in the village can gather firewood and how much? Yes No Don't Know Over the last 12 months, how many times have you or anyone in your household been part of a group that provided labor to someone in the village who needed it? None, no one needed/asked for help None, I wasn’t part of a group Once or twice 3-5 times 6 or more times Don't know Refuse IMPEL | Implementer-Led Evaluation and Learning 198 Annex D: Data Collection Tool Over the last 12 months, how many times have you or anyone in your household been part of a group that provided food to someone in the village who needed it? None, no one needed/asked for help None, I wasn’t part of a group Once or twice 3-5 times 6 or more times Don't know Refuse Over the last 12 months, how many times have you or anyone in your household been part of a group that provided some other type of help to someone else in the village? None, no one needed/asked for help None, I wasn’t part of a group Once or twice 3-5 times 6 or more times Don't know Refuse Has the amount of help you or anyone in your household can provide to others in your village changed over the last five years? No one in HH provided help to anyone in village over the last 5 years No (stayed the same) Yes, decreased slightly Yes, decreased greatly Yes, increased slightly Yes, increased greatly Don't know Refuse What were all the sources of your household’s food/income over the last 12 months? Own farming/crop production and sales Own livestockproduction/fattening and sales Agricultural wage labor (WITHIN THE VILLAGE) Agricultural wage labor (OUTSIDE THE VILLAGE) Non-agricultural wage labor (WITHIN THE VILLAGE) Non-agricultural wage labor (OUTSIDE THE VILLAGE) Salaried work Sale of wild/bush products (including charcoal, firewood) Honey production and sales Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 199 Petty trade (selling other products, e.g., grain, veggies, oil, sugar, etc.) Petty trade (selling own products, e.g., local beer, sex work) Other self-employment/own business (agricultural, e.g., buying/reselling chat) Other self-employment/own business (non-agricultural, e.g., stone cutting, hair braiding, etc. Remittances Gifts/inheritance Safety net food/cash assistance Other (specify) 1 Other (specify) 2 Other (specify) 3 Don't know Refuse Other Specify other. Other (specify) 1 text Other (specify) 2 text Other (specify) 3 text During the drought members of my community have helped each other to cope Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse During the drought members from different communities have helped each other to cope Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse Yes IMPEL | Implementer-Led Evaluation and Learning 200 Annex D: Data Collection Tool Has your household received any kind of formal support from the government or NGO over the past 12 months? No What types of support were received? Emergency food assistance Emergency cash assistance Conditional food transfer (FFW) Conditional cash transfer (CFW) Unconditional food transfer (non￾emergency) Unconditional cash transfer (non￾emergency) Household materials and non-food items Educational assistance/school feeding Agricultural inputs (seeds, fertilizer, etc.) Livestock inputs (feed, fodder, medicine, etc.) WASH (Water, Sanitation and Hygiene) Nutrition/supplemental feeding Other (specify) Don't know Refuse If your household had a problem and needed help urgently (e.g., food, money, labor, transport, etc.), who IN THIS VILLAGE could you turn to for help? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnic group/clan No one Other (specify) Don't know Refuse If your household had a problem and needed help urgently (e.g., food, money, labor, transport, etc.), who OUTSIDE THIS VILLAGE could you turn to for help? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnicgroup/clan No one Other (specify) Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 201 Compared to one year ago has your ability to get help from anyone within or outside of your village: Increased Stayed the same Decreased Don't know Refuse Who INSIDE THIS VILLAGE would you help if they needed help urgently (e.g., food, money, labor, transport, etc.)? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnic group/clan No one Other (specify) Don't know Refuse Who OUTSIDE THIS VILLAGE would you help if they needed help urgently (e.g., food, money, labor, transport, etc.)? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnic group/clan No one Other (specify) Don't know Refuse Do you or does anyone else in your household personally know an elected government official? Yes No How do you (or other household member) know the government official? Is he or she a….? Family member or relative Friend Neighbor Acquaintance (member of a group, friend of a friend, etc.) Other (specify) Don't know Refuse Could you ask the official to help your family or village if help was needed? Yes No Do you or does anyone else in your household personally know a staff member of an NGO? Yes No IMPEL | Implementer-Led Evaluation and Learning 202 Annex D: Data Collection Tool How do you (or another household member) know the NGO staff member? Is he or she a…? Family member or relative Friend Neighbor Acquaintance (member of a group, friend of a friend, etc.) Other (specify) Don't know Refuse Could you ask the NGO staff member to help your family or community if help was needed? Yes No Has your household given assistance to anyone WITHIN THIS VILLAGE in the last 12 months? Yes No What types of assistance has your household given to someone WITHIN THIS VILLAGE in the last 12 months? Labor sharing (weeding, plowing, construction, etc.) Donation/gift (cash, animals, materials/ supplies, food, etc.) Loans (cash, seeds, animals, etc.) Other (specify) Don't know Refuse Who IN THIS VILLAGE have you given assistance to in the last 12 months? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnic group/clan No one Other (specify) Don't know Refuse Within the last 12 months, has your household received assistance from anyone WITHIN THIS VILLAGE? Yes No What types of assistance has your household received from someone WITHIN THIS VILLAGE in the last 12 months? Labor sharing (weeding, plowing, construction, etc.) Donation/gift (cash, animals, materials/ supplies, food, etc.) Loans (cash, seeds, animals, etc.) Other (specify) Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 203 Who WITHIN THIS VILLAGE provided you with assistance over the last 12 months? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnic group/clan No one Other (specify) Don't know Refuse Within the last 12 months, has your household given assistance to anyone OUTSIDE THIS VILLAGE? Yes No What types of assistance did you give to someone OUTSIDE THIS VILLAGE in the last 12 months? Labor sharing (weeding, plowing, construction, etc.) Donation/gift (cash, animals, materials/ supplies, food, etc.) Loans (cash, seeds, animals, etc.) Other (specify) Don't know Refuse Who OUTSIDE THIS VILLAGE did you give assistance to over the last 12 months? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnic group/clan No one Other (specify) Don't know Refuse Within the last 12 months, has your household received assistance from anyone OUTSIDE THIS VILLAGE? Yes No What types of assistance did you receive from someone OUTSIDE THIS VILLAGE in the last 12 months? Labor sharing (weeding, plowing, construction, etc.) Donation/gift (cash, animals, materials/ supplies, food, etc.) Loans (cash, seeds, animals, etc.) Other (specify) Don't know Refuse IMPEL | Implementer-Led Evaluation and Learning 204 Annex D: Data Collection Tool Who OUTSIDE THIS VILLAGE provided you with assistance over the last 12 months? Relatives Non-relatives in my ethnic group/clan Non-relatives in other ethnic group/clan No one Other (specify) Don't know Refuse Have you or anyone in your household ever received any vocational (job) or skill training? Yes No Don't Know Have you or anyone in your household ever received any business development training (including financial literacy)? Yes No Don't Know Have you or anyone in your household ever received any early warning training? Yes No Don't Know Have you ever or anyone in your household received any natural resource management training? Yes No Don't Know Have you or anyone in your household ever received adult education? Yes No Don't Know Have you or anyone in your household ever received training in how to use your mobile phone to get market information like prices? Yes No Don't Know Have you or anyone in your household ever received seed packets/starter packets from the government or an NGO? Yes No Don't Know Can you or any other adult in your household read or write? Yes No Don't Know Have you or anyone in your household ever received adult education (literacy or numeracy or financial education)? Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 205 Have you or anyone in your household ever received training in how to use your mobile phone to get market information like prices? Yes No Don't Know Please tell me which one of these two views you most agree with. “Each person is primarily responsible for his/her success or failure in life” “One’s success or failure in life is a matter of his/her destiny” Don't know Refuse Please tell me which one of these two views you most agree with. "To be successful, above all one needs to work very hard” “To be successful above all one needs to be lucky” Don't know Refuse Are you willing to move somewhere else to improve your life? Yes No Are you hopeful about your children’s future? Yes No What level of education do you want for your children? No preference Any level of primary Graduated from primary Graduated from secondary Post-secondary (college, university) No children in HH Don't know Refuse Do you agree that one should always follow the advice of the elders? Yes No Do you communicate regularly with at least one person outside the village? Yes No During the past week, have you engaged in any economic activities with other villages or clans? For example, farming, trading, employment, borrowing or lending money. Yes No IMPEL | Implementer-Led Evaluation and Learning 206 Annex D: Data Collection Tool How many times in the past month have you gotten together with friends, family, neighbors, etc. to discuss issues or share food/drinks, either in someone’s home or in a public place? number How many days in the past month have you attended a church/mosque or other religious service? number In the last year, how many times have you stayed more than 1 week outside your village? number Below is a series of statements that you may agree or disagree with. Using the scales belowindicate your agreement with each item. My experience in life has been that what is going to happen will happen. Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse My life is chiefly controlled by other powerful people Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse It is not always wise for me to plan too far ahead because many things turn out to be a matter of good or bad fortune. Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse I can mostly determine what will happen in my life. Strongly disagree Disagree Slightly disagree Slightly agree Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 207 Agree Strongly agree Don't know Refuse When I get what I want, it is usually because I worked hard for it. Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse My life is determined by my own actions. Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse Most people are basically honest. Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse Most people can be trusted. Strongly disagree Disagree Slightly disagree Slightly agree Agree Strongly agree Don't know Refuse I trust my neighbors to look after my house if I am away. Strongly disagree Disagree Slightly disagree Slightly agree Agree IMPEL | Implementer-Led Evaluation and Learning 208 Annex D: Data Collection Tool Strongly agree Don't know Refuse Generally, do adult men and women sit and eat together within households? Yes, regularly Yes, occasionally No Don’t know Refuse Do you and your spouse sit and eat together within your household? Yes, and it is culturally acceptable Yes, but it is not culturally acceptable No, but it is culturally acceptable No, and it is not culturally acceptable Only for special occasions No spouse/spouse absent Don't know Refuse Generally, do adult men and women sit together at public meetings? Yes, and it is culturally acceptable Yes, but it is not culturally acceptable No, but it is culturally acceptable No, and it is not culturally acceptable Only for special occasions No spouse/spouse absent Don't know Refuse Generally, do men in the village help with childcare around the household? Yes, regularly Yes, occasionally No Don’t know Refuse Who primarily cares for your children? Yourself Your spouse/partner You help your spouse/partner Your spouse/partner helps you Not applicable Other (specify) Don't know Refuse Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 209 specify text Generally, do men in the village help collect firewood or carry water for your household? Yes, regularly Yes, occasionally No Don’t know Refuse Who primarily collects firewood for your household? Yourself Your spouse/partner You help your spouse/partner Your spouse/partner helps you Not applicable Other (specify) Don't know Refuse specify text Who primarily fetches water for your household? Yourself Your spouse/partner You help your spouse/partner Your spouse/partner helps you Not applicable Other (specify) Don't know Refuse specify text Are there any government or NGO programs in this village? Yes No Don't Know What types of programming do they provide? Emergency food/cash assistance Food/cash transfers Household materials and non-food items Educational assistance Agricultural inputs (seeds, fertilizer, etc.) Livestock inputs (feed, fodder, medicine, etc.) WASH (Water, Sanitation, and Hygiene) IMPEL | Implementer-Led Evaluation and Learning 210 Annex D: Data Collection Tool Disaster planning/response Safety net (FFW/CFW) Child malnutrition/infant feeding Other Don’t know Refuse In the last 12 months, did you or your household receive any government or NGO assistance? Yes No Don't Know What type(s) of assistance did you or your household receive? Emergency food/cash assistance Food/cash transfers Household materials and non-food items Educational assistance Agricultural inputs (seeds, fertilizer, etc.) Livestock inputs (feed, fodder, medicine, etc.) WASH (Water, Sanitation, and Hygiene) Disaster planning/response Safety net (FFW/CFW) Child malnutrition/infant feeding Other Don’t know Refuse Other text Is there an emergency plan for livestock offtake if a drought hits your village? Yes No Don't Know Do you have an active Peace Committee in your village? Yes No Don't Know Do you have an active Area Land Committee in your village? Yes No Don't Know Does this village have a security or police force? Yes No Don't Know Baseline Study of the Maharo RFSA in Madagascar Annex D: Data Collection Tool 211 Who provides the nearest security/police force? Sub county government District government National government Local militia Community members Other (specify): Don’t know Refuse Other text How long does it take for the nearest security/police force to reach this village? Over one hour About one hour Half an hour Minutes Don’t know Refuse Anthropometry Now can I speak to the caregiver of each child? How many children under the age of 5 are we weighing? [ENUMERATOR: Is this the first time the caregiver is giving consent?] Yes No begin repeat Consent DOES THE CAREGIVER AGREE TO PARTICIPATE IN THE SURVEY? Yes No Select name of person who will be measured Select name SEX Male Female CHILD’S BIRTH DATE date SOURCE BIRTH DATE Birth certificate Baptismal/church record Health registration card Home record Parent statement Other (specify) Don't know IMPEL | Implementer-Led Evaluation and Learning 212 Annex D: Data Collection Tool Refuse Other (specify) text WEIGHT number EDEMA Yes No end repeat ENUMERATOR: Is the survey complete? Yes No ENUMERATOR: Please describe any issues you have had with the survey Not mandatory text