Power planning for mediator–outcome linkage analyses in clustered education RCTs

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 theoretical), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

Because the article develops power formulas specifically for exploratory analyses linking teacher practice outcomes to student achievement outcomes in clustered school-based RCTs, it implies that researchers should evaluate power for these analyses when designing studies. The simulated power analysis exists to inform such assessments, indicating that typical RCTs may face power limitations for linking impacts on teacher practice and student achievement.

Accounts

• Researchers should assess statistical power for mediator-outcome linkage analyses before relying on them to interpret RCT results: Because the article develops power formulas specifically for exploratory analyses linking teacher practice outcomes to student achievement outcomes in clustered school-based RCTs, it implies that researchers should evaluate power for these analyses when designing studies. The simulated power analysis exists to inform such assessments, indicating that typical RCTs may face power limitations for linking impacts on teacher practice and student achievement. (Peter Z. Schochet (2011))

Claims

• Measurement error in the mediator reduces statistical power for mediator-achievement association estimates [+W]

Related Research Methods

• Precision-based sample-size planning for clustered education trials

Key Sources

• Peter Z. Schochet. (2011). Do Typical RCTs of Education Interventions Have Sufficient Statistical Power for Linking Impacts on Teacher Practice and Student Achievement Outcomes? Journal of Educational and Behavioral Statistics, vol. 36, no. 4. https://www.mathematica.org/publications

Page metadata

Field	Value
type	research-method
id	power-planning-for-mediatoroutcome-linkage-analyses-in-clustered-education-rcts
title	Power planning for mediator–outcome linkage analyses in clustered education RCTs
description	Because the article develops power formulas specifically for exploratory analyses linking teacher practice outcomes to student achievement outcomes in clustered school-based RCTs, it implies that researchers should evaluate power for these analyses when designing studies.
status	review
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content

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