Follow a step-by-step estimation procedure with example-based computer code when analyzing PN-RCT data¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The guide offers an implementable recipe for analysts: Chapter 3 provides "a step-by-step guide, using examples, on how to estimate the models and interpret the output", together with computer code for the clustering-adjusted models. This makes the statistical approach concrete for applied researchers rather than purely theoretical.

Design Implications¶

Context¶

Requirements¶

• Access to the guide's associated computer code and example datasets used in the step-by-step walkthrough

Constraints¶

Target Learners¶

• applied education researchers

Target Learning Goals¶

• estimating and interpreting PN-RCT analysis models

Related Strategies¶

• Link implementation and impact findings when analyzing and reporting impact studies
• Apply BASIE through four key steps: selecting prior evidence, reporting estimates, interpreting estimates, and sensitivity analyses

Examples¶

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Key Sources¶

• Sharon Lohr, Peter Z. Schochet, Elizabeth Sanders. (2014). Partially Nested Randomized Controlled Trials in Education Research: A Guide to Design and Analysis. Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Research. https://ies.ed.gov/ncer/