Lessons

Table of Contents

• Lesson 1: Intro to Stata-Learn how to navigate the Stata user interface and Stata syntax.

• Lesson 2: Stata Best Practices-Learn how to write clear and efficient code in Stata.

• Lesson 3: Theory of Change-Learn why Theory of Change is important and how to create one.

• Lesson 4: Causal Inference-Learn about ways to estimate causal impact and the tradeoffs of each.

• Lesson 5: Process Evaluation Design-Learn when, how, and why to conduct a process evaluation.

• Lesson 6. Statistical Inference-Learn how to conduct and interpret hypothesis tests.

• Lesson 7: Sampling for Surveys-Learn how to optimize sampling design with feasibility constraints.

• Lesson 8: Power Calculations-Learn how to conduct and interpret power calculations for causal evaluations.

• Lesson 9: Designing Causal Evaluations-Learn how to construct comparison groups for causal evaluations.

• Lesson 10: Collecting High-Quality Data-Learn how to set up processes to strengthen data quality.

• Lesson 11: Questionnaire Design-Learn how to maximize construct validity and minimize survey error.

• Lesson 12: SurveyCTO-Learn how to use SurveyCTO to build survey forms and collect data.

• Lesson 13: Qualitative Data Collection-Learn how to collect and select samples for qualitative data.

• Lesson 14: Data Cleaning-Learn how to organize folders, manage data, and transform datasets.

• Lesson 15: Data Analysis-Learn how to construct, execute, and interpret regression models.

• Lesson 16: Data Visualization-Learn how to execute visualization best practices in Stata graphs.