Course

Process Evaluation

4 October 2022

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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

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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

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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

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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

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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

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Intro to Lesson

Lesson 1: Summary statistics

Lesson 2: Sampling design features

Lesson 3: Sampling weights

Lesson 4: Missing data

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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

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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

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Balancing rigor and cost in sampling

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Process Evaluation

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Price

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Course Content

Evidential: A new experiment engine for the social sector