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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Courses and Certificate Fees

    Certificate AvailabilityCertificate Providing Authority
    yesCoursera

    The Syllabus

    Videos
    • 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
    Readings
    • 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
    Practice Exercise
    • Module 1 Summative Exam

    Videos
    • 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
    Practice Exercise
    • Module 2 Summative Exam

    Videos
    • 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
    Readings
    • Draw a household sample using the RADAR sampling app (Activity instructions)
    • Mapping manual and forms sections
    Practice Exercise
    • Module 3 Summative Exam

    Videos
    • 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
    Readings
    • So you want to do research? Questionnaire design
    • The RADAR Questionnaire
    • RADAR Manuals, forms & other supports
    Practice Exercise
    • Module 4 Summative Exam

    Videos
    • 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
    Reading
    • RADAR Training materials
    Practice Exercise
    • Module 5 Summative Exam

    Videos
    • 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
    Readings
    • Methods for analysis of complex survey data
    • Data visualization decision tree
    Practice Exercise
    • Module 6 Summative Exam

    Instructors

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