Household Surveys for Program Evaluation in LMICs

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Free Online Course: Household Surveys for Program Evaluation in LMICs provided by Coursera is a comprehensive online course, which lasts for 6 weeks long, 310 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Household Surveys for Program Evaluation in LMICs is taught by Abdoulaye Maïga, Melinda K. Munos, Talata Sawadogo-Lewis, Ashley L. Sheffel and Coursera QA Team.

Overview
  • This course provides an introduction to household surveys for program evaluation in low-and middle-income countries. The course will equip you with skills to:
    1. Explain what coverage is, why it’s important in evaluations, and how it is measured
    2. Describe what household surveys can and cannot measure
    3. Plan, implement, and analyze household survey, including:
    4. Calculate an appropriate household survey sample size
    5. Explain the resources required for a household survey
    6. Identify an appropriate sampling design
    7. Design a questionnaire
    8. Describe challenges for coverage survey planning and implementation
    9. Present and describe how the RADAR tool can be used

    The development of this course was supported by a grant from Government Affairs Canada (GAC) for the Real Accountability, Data Analysis for Results (RADAR) project.

Syllabus
    • Introduction to Coverage Concepts
      • This module will cover an overview of intervention coverage, using existing coverage data, and special topics in coverage.
    • Survey Design and Planning
      • This module will cover survey design and survey planning.
    • Sampling Design and Household Mapping
      • This module will cover sampling design and mapping.
    • Survey Tool Development
      • This module will cover survey tool development.
    • Preparing Fieldwork and Data Collection
      • This module will cover preparing fieldwork, data quality assurance, and data collection.
    • Data Management and Analysis
      • This module will cover data management & analysis and synthesizing data.