Training on Household Surveys for Program Evaluation in LMICs

This training provides participants with practical knowledge and skills to design, conduct, and analyze household surveys for program evaluation in low- and middle-income countries. It covers sampling techniques, questionnaire design, data collection methods, data quality assurance, and advanced analysis for program impact evaluation. With real-world case studies from health, agriculture, and education programs, participants will learn how to generate reliable evidence for policy and program improvement.

Duration

5 Days

Who Should Attend

• Program managers and M&E officers.

• Researchers and development practitioners.

• Government statisticians and policy analysts.

• NGO and donor agency staff working in LMICs.

• Graduate students in development, economics, or public health.

Organizational Impact

• Reliable household survey data to inform program design and scaling.

• Improved accountability and donor reporting.

• Stronger capacity for evidence-based policy and decision-making.

Personal Impact

• Practical skills in survey design, data collection, and analysis.

• Hands-on experience with tools like ODK, CSPro, or STATA.

• Enhanced career opportunities in M&E, research, and policy.

By the end of this course, participants will be able to:

1. Design household surveys tailored to LMIC contexts.

2. Apply appropriate sampling and survey methodologies.

3. Develop reliable data collection tools.

4. Ensure data quality and minimize survey bias.

5. Analyze and report household survey data for program evaluation.

Module 1: Fundamentals of Household Surveys in LMICs

• Role of household surveys in program evaluation.
• Unique challenges in LMIC contexts (literacy, infrastructure, costs).
• Case Study: DHS (Demographic and Health Surveys) in Sub-Saharan Africa.

Module 2: Survey Design & Sampling Techniques

• Probability vs. non-probability sampling.
• Sample size calculation for impact evaluation.
• Case Study: Sampling in household nutrition surveys.

Module 3: Questionnaire Development & Data Collection Tools

• Questionnaire design (modules on income, health, education, livelihoods).
• Digital tools: ODK, KoboToolbox, CSPro.
• Case Study: Mobile-based surveys for agricultural extension services.

Module 4: Data Quality Assurance & Ethical Considerations

• Field supervision, enumerator training, pilot testing.
• Informed consent, cultural sensitivity, and ethical practices.
• Case Study: Ensuring data integrity in refugee household surveys.

Module 5: Data Analysis & Reporting for Program Evaluation

• Analyzing survey data with STATA/SPSS/R.
• Interpreting results for policy and programs.
• Case Study: Evaluating household cash transfer impacts in LMICs.