Course

Process Evaluation

4 October 2022

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Free

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Course Content

Lesson Content

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Intro to Lesson

Lesson 1: What is Theory of Change? (1)

Lesson 2: What is Theory of Change? (2)

Lesson 3: Why is Theory of Change important?

Lesson 4: How to make a Theory of Change

Lesson 5: Theory of Change applications

Lesson 6: Theory of Change final thoughts

Lesson 7: Theory of Change conclusion

Lesson Content

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Intro to Lesson

Lesson 1: Where to find relevant papers

Lesson 2: Assessing papers

Lesson 3: Compiling an annotated bibliography

Lesson 4: Writing an evidence review

Lesson Content

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Intro to Lesson

Lesson 1: Goals of the lesson

Lesson 2: Example program: Farm to Market Alliance

lesson 3: Farm to Market Alliance Theory of Change

Lesson 4: Farm to Market Alliance critical Theory of Change linkage

Lesson 5: What is a process evaluation?

Lesson 6: What you can and cannot learn from a process evaluation

Lesson 7: Why do a process evaluation?

Lesson 8: How to do a process evaluation

Lesson 9: When to do a process evaluation

Lesson 10: Wrap-up

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Intro to Lesson

Lesson 1: Why we do statistical inference

Lesson 2: The Central Limit Theorem

Lesson 3: Testing a hypothesis

Lesson 4: Steps to testing for equality of means (1)

Lesson 5: Steps to testing for equality of means (2)

Lesson 6: One-sample hypothesis tests in Stata

Lesson 7: Two-sample hypothesis tests in Stata

Lesson Content

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Intro to Lesson

Lesson 1: Why high quality data is important

Lesson 2: What errors are we worried about?

Lesson 3: What leads to errors and how to mitigate errors in data collection

Lesson 4: Example with data

Lesson 5: Conclusion

Lesson Content

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Intro to Lesson

Lesson 1: Deciding what to measure

Lesson 2: The survey response process: Comprehension

Lesson 3: The survey response process: Retrieval

Lesson 4: The survey response process: Judgement & estimation and response mapping

Lesson 5: Mitigating social desirability bias

Lesson 6: Tips for creating a robust questionnaire

Lesson Content

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Intro to Lesson

Lesson 1: Introduction to mobile data collection

Lesson 2: Working with SurveyCTO

Lesson 3: Building a survey in SurveyCTO (1)

Lesson 4: Building a survey in SurveyCTO (2)

Lesson 5: Encryption

Lesson 6: Collecting data

Lesson 7: Downloading data

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Intro to Lesson

Lesson 1: Types of qualitative data

Lesson 2: Pros/cons of qualitative and quantitative data

Lesson 3: Case/sample selection

Lesson 4: Interview guides

Lesson Content

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Intro to Lesson

Lesson 1: The importance of data cleaning

Lesson 2: Folder structure

Lesson 3: Data preparation: Duplicates, renaming, labeling

Lesson 4: Data preparation: New data, missing data, logic checks

Lesson 5: Data preparation: Creating variables, de-identifying data

Lesson 6: Data transformations: Appending, merging

Lesson 7: Data transformations: Reshaping, collapsing

Lesson Content

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Intro to Lesson

Lesson 1: Summary statistics

Lesson 2: Sampling design features

Lesson 3: Sampling weights

Lesson 4: Missing data

Lesson Content

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Intro to Lesson

Lesson 1: Principles of data visualization

Lesson 2: Tips for graphing in Stata

Lesson 3: Stata graph basics (1)

Lesson 4: Stata graph basics (2)

Lesson 5: Overlaying graphs

Lesson 6: Bar graphs

Lesson 7: Other graphs

Lesson Content

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Intro to Lesson

Lesson 1: How to frame findings

Lesson 2: Using visualizations to describe results

Lesson 3: Tailoring results to different types of clients

Lesson 4: Communicating statistical uncertainty

Project

Kilifi adolescent and young people health policy

13 November 2025

Report

Advancing the measurement of beneficiary preferences through updated methods

13 November 2025

Blog

To unlock the value of AI, you need data infrastructure

22 October 2025

Tools

A measuring guide for dignity

21 October 2025

Blog

Six reflections on doing cost-effectiveness analysis

14 October 2025

Report

Project Sampoorna

10 October 2025

Blog

Evaluating AI for social impact: Reflections from UNGA 80

30 September 2025

News

IDinsight welcomes Brigitte Hoyer Gosselink to the Board of Directors and two new members to its Advisory Board

21 September 2025

Project

Gokongwei Brothers Foundation Learning Partnership and Impact Evaluation

19 September 2025

Blog

Applying AI to improve your program? Look out for its risks and unintended consequences

19 September 2025

Process Evaluation

Current Status

Price

Get Started

Course Content

Kilifi adolescent and young people health policy

Advancing the measurement of beneficiary preferences through updated methods

To unlock the value of AI, you need data infrastructure

A measuring guide for dignity

Six reflections on doing cost-effectiveness analysis

Project Sampoorna

Evaluating AI for social impact: Reflections from UNGA 80

IDinsight welcomes Brigitte Hoyer Gosselink to the Board of Directors and two new members to its Advisory Board

Gokongwei Brothers Foundation Learning Partnership and Impact Evaluation

Applying AI to improve your program? Look out for its risks and unintended consequences

Related content

Statistical Software Prerequisites

Impact Evaluation

Sample Surveys

Monitoring

Current Status

Price

Get Started

Course Content

Kilifi adolescent and young people health policy

Advancing the measurement of beneficiary preferences through updated methods

To unlock the value of AI, you need data infrastructure

A measuring guide for dignity

Six reflections on doing cost-effectiveness analysis

Project Sampoorna

Evaluating AI for social impact: Reflections from UNGA 80

IDinsight welcomes Brigitte Hoyer Gosselink to the Board of Directors and two new members to its Advisory Board

Gokongwei Brothers Foundation Learning Partnership and Impact Evaluation

Applying AI to improve your program? Look out for its risks and unintended consequences

Related content

Statistical Software Prerequisites

Impact Evaluation

Sample Surveys

Monitoring

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