Household Surveys for Program Evaluation in LMICs Course

Editorial Take

This course fills a critical gap in evaluation training by focusing specifically on household surveys in resource-constrained settings. It offers a structured, accessible pathway for professionals aiming to strengthen evidence-based decision-making in public health and development programs.

Standout Strengths

• Relevance to Real-World Contexts: The course emphasizes practical challenges faced in low- and middle-income countries, such as access limitations, cultural sensitivity, and logistical constraints. This ensures learners can apply concepts directly to field programs.
• Expertise from Johns Hopkins University: Developed by a leading institution in global health, the content benefits from decades of field research and evaluation experience. This academic rigor enhances credibility and depth.
• Clear Focus on Coverage Measurement: Coverage is a cornerstone of program effectiveness, yet often misunderstood. The course demystifies how to define, measure, and interpret coverage indicators accurately.
• Comprehensive Survey Planning Framework: From identifying key metrics to estimating human and financial resources, the course provides a step-by-step guide to survey design. This helps prevent costly oversights in real projects.
• Sample Size Calculation Guidance: One of the most technically valuable components is the instruction on determining appropriate sample sizes. This equips learners with a critical skill for ensuring statistical validity without overextending budgets.
• Emphasis on Ethical Implementation: The course integrates ethical considerations throughout, including informed consent, data privacy, and minimizing respondent burden. This reflects best practices in responsible research conduct.

Honest Limitations

• Limited Hands-On Data Analysis: While the course mentions data analysis, it does not include practical exercises using statistical software. Learners seeking coding skills or advanced analytics may need supplementary training.
• Assumed Prior Knowledge: The course presumes familiarity with basic evaluation concepts, which may challenge complete beginners. A foundational primer on M&E would improve accessibility for new learners.
• Minimal Peer Interaction: There are few opportunities for discussion or feedback from peers or instructors. This reduces collaborative learning potential compared to more interactive courses.
• Narrow Scope Beyond Surveys: The course focuses exclusively on household surveys and does not compare them with other data collection methods like facility assessments or mobile data. A broader perspective would enhance critical thinking.

How to Get the Most Out of It

• Study cadence: Dedicate 3–4 hours per week consistently to complete readings, videos, and quizzes. Spacing out study sessions improves retention of methodological concepts.
• Parallel project: Apply each module’s lessons to a real or hypothetical program you’re involved in. This builds practical experience and reinforces learning through application.
• Note-taking: Maintain a structured notebook organizing key formulas, definitions, and planning checklists. This becomes a valuable reference for future survey work.
• Community: Join Coursera discussion forums to exchange ideas with global peers. Even limited interaction can yield insights into diverse implementation challenges.
• Practice: Use sample size calculators and draft survey protocols during the course. Practicing these skills early builds confidence for real-world use.
• Consistency: Complete assignments promptly to stay aligned with the course schedule. Delaying work risks losing momentum in technical modules.

Supplementary Resources

• Book: 'Monitoring and Evaluation in Health Programs' by Laura Levitt provides deeper context on evaluation frameworks that complement this course’s survey focus.
• Tool: Use DHS Program’s Sample Size Calculator to practice calculations learned in the course with real-world parameters.
• Follow-up: Enroll in Coursera’s 'Monitoring, Evaluation, and Impact Assessment' specialization to build on these foundational skills.
• Reference: The World Bank’s 'Living Standards Measurement Study' manuals offer detailed guidance on household survey implementation in diverse settings.

Common Pitfalls

• Pitfall: Underestimating field logistics can derail surveys. Many learners overlook travel time, equipment needs, and team coordination—plan meticulously using the course’s resource checklist.
• Pitfall: Over-sampling without justification inflates costs. Use the sample size module rigorously to balance precision with feasibility, especially in budget-constrained environments.
• Pitfall: Ignoring cultural norms affects data quality. The course touches on ethics, but learners must proactively research local contexts to ensure respectful and accurate data collection.

Time & Money ROI

• Time: At 9 weeks with 3–4 hours weekly, the time investment is moderate and manageable for working professionals aiming to upskill without disruption.
• Cost-to-value: The paid access model offers decent value for those needing formal certification, though free auditing may suffice for self-directed learners.
• Certificate: The credential enhances resumes for M&E roles, particularly when applying to health-focused NGOs or donor-funded projects requiring proof of training.
• Alternative: Free resources like USAID’s evaluation guides exist, but this course provides structured learning and academic validation that self-study lacks.

Editorial Verdict

This course is a strong choice for mid-career professionals in public health, international development, and monitoring and evaluation who need to design or interpret household surveys. Its practical orientation, expert instruction, and focus on real-world constraints make it more valuable than theoretical alternatives. While not ideal for absolute beginners, it effectively bridges the gap between academic knowledge and field implementation. The modules on coverage measurement and sample size calculation are particularly robust, offering immediately applicable skills.

However, learners seeking hands-on data analysis or broader evaluation methodologies should supplement this course with additional training. The lack of interactive exercises and peer engagement limits its depth compared to premium programs. Still, for its target audience—those working in or with LMIC programs—the content is timely, relevant, and well-structured. At its price point, it offers reasonable value, especially when certification is required. Overall, it earns a solid recommendation for practitioners aiming to strengthen program evaluation rigor through better survey design.