

Household Surveys for Program Evaluation in LMICs 
- Offered byCoursera
- Public/Government Institute
Household Surveys for Program Evaluation in LMICs at Coursera Overview
| Duration | 310 hours  | 
| Total fee | Free | 
| Mode of learning | Online | 
| Official Website | Explore Free Course | 
| Credential | Certificate | 
Household Surveys for Program Evaluation in LMICs at Coursera Highlights
- Earn a Certificate upon completion Intermediate Level Experience in public health, global health, evaluation, survey design/implementation, biostatistics
- Financial aid available
Household Surveys for Program Evaluation in LMICs at Coursera Course details
- 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
Household Surveys for Program Evaluation in LMICs at Coursera Curriculum
Introduction to Coverage Concepts
Welcome to the course
Learning objectives and outline
What is a household survey
What is coverage
Vignette: Why do we use coverage for large scale effectiveness evaluations
What are sources of coverage data
What is a good coverage indicator
Competing expectations between evaluators, implementers, and funders
Learning objectives and outline
Deciding whether to use existing coverage data
Accessing customizable coverage data tables using STATcompiler
Learning objectives and outline
Composite coverage indicators and coverage indices
Coverage cascades
Improving coverage measurement for reproductive, maternal, neonatal and child health: gaps and opportunities
Coverage Data Quality Checklist Guide
Coverage Data Quality Checklist (excel)
Survey Quality Checklist Guide
Survey Quality Checklist (excel)
Accessing customizable coverage data tables using STATcompiler (Activity Instructions)
Accessing customizable coverage data tables using STATcompiler (Activity Answer Key))
Measuring Coverage in MNCH: Determining and Interpreting Inequalities in Coverage of Maternal, Newborn, and Child Health Interventions (Optional)
Co-coverage of preventive interventions and implications for child-survival strategies- evidence from national surveys
Mind the gap- equity and trends in coverage of maternal, newborn, and child health services in 54 Countdown countries
Summary indices for monitoring universal coverage in maternal and child health care (Optional)
Advances in the measurement of coverage for RMNCH and nutrition - from contact to effective coverage
Module 1 Summative Exam
Survey Design and Planning
Welcome to Module 2
Learning objectives and outline
Selecting indicators to measure in your survey
Vignette: Assessing indicator validity- pneumonia example
Sample size- Considerations
Key concepts and inputs for sample size calculation (optional)
Sample size ? Calculation (optional)
Vignette: PMNCH in Burkina Faso- Unequal sample size
Vignette: Introducing the RADAR sample size calculator
Learning objectives and outline
Establishing implementation collaborations
Timing considerations for coverage survey implementation (Part 1)
Timing considerations for coverage survey implementation (Part 2)
Staffing considerations
Supply and equipment considerations for coverage survey implementation
Budget considerations
Vignette: What to do when your budget and your study objectives don?t line up
Vignette: Translating sample size and sampling design into a budget
Proposal & ethical considerations
Vignette: Building a budget
Module 2 Summative Exam
Sampling Design and Household Mapping
Welcome to Module 3
Learning objectives and outline
Sampling
Sampling- Choosing your location and strata
Sampling- Selecting your clusters
Vignette: Sampling clusters with PPS
Sampling households using the gold standard method
Sampling households using other methods
Vignette: RADAR household sampling app
Activity: Draw a household sample using the RADAR sampling app
Sampling individuals
Vignette: Barriers to good sampling
Learning objectives and outline
Overview of mapping
Creating a map
Segmentation of an enumeration area
Household enumeration
Draw a household sample using the RADAR sampling app (Activity instructions)
Mapping manual and forms sections
Module 3 Summative Exam
Survey Tool Development
Welcome to Module 4
Learning objectives and outline
Questionnaire Design- Part I: Identifying questions to measure indicators
Questionnaire Design-Part II: Questionnaire construction
Introduction to the RADAR Questionnaire: Part I
Introduction to the RADAR Questionnaire: Part II
Manuals, forms, & other supports
Adapting & translating tools
Vignette: Language considerations
CAPI- Computer Assisted Personal Interviewing
So you want to do research? Questionnaire design
The RADAR Questionnaire
RADAR Manuals, forms & other supports
Module 4 Summative Exam
Preparing Fieldwork and Data Collection
Welcome to Module 5
Learning objectives and outline
Training materials
Components of training
Main components of supervisor training
Training approaches
Selecting your interviewers
Vignette: Selecting interviewers
Language considerations
Vignette: Language considerations
Ethical considerations
Training on CAPI and data management
Vignette: CAPI How-to
Activity: Using ODK Tools
Logistical considerations in the field
Deployment plan
Learning objectives and outline
Designing CAPI for data quality assurance
Data quality assurance in data collection
Data quality monitoring in data collection
Learning objectives and outline
Implementation of data collection
Vignette: A day in the field
Development and configuration of the CAPI tool
Documentation
Vignette: Challenges in planning and logistics
Vignette: Challenges in data collection ethics and quality assurance
RADAR Training materials
Module 5 Summative Exam
Data Management and Analysis
Welcome to Module 6
Learning objectives and outline
Overview of data management and analysis
Creating results tables and data visualizations
Learning objectives and outline
Analysis report
Data interpretation and identifying key findings
Using data for program improvement and evaluation
Disseminating results
Course wrap-up
Methods for analysis of complex survey data
Data visualization decision tree
Module 6 Summative Exam
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