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Multi-armed randomized trial analysis

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

The report's guidance is that analysts running studies with several intervention arms should not simply reuse two-group methods: estimators "need to be modified for the multi-armed design," hypothesis tests across pairwise contrasts require multiple comparison adjustments, and CACE estimation demands attention to its complex identifying assumptions. The principle directs evaluation design and analysis choices in multi-armed education studies.

Accounts

  • Researchers conducting multi-armed RCTs should adapt estimation, multiplicity testing, and CACE methods from two-group practice: The report's guidance is that analysts running studies with several intervention arms should not simply reuse two-group methods: estimators "need to be modified for the multi-armed design," hypothesis tests across pairwise contrasts require multiple comparison adjustments, and CACE estimation demands attention to its complex identifying assumptions. The principle directs evaluation design and analysis choices in multi-armed education studies. (Peter Z. Schochet (2017))
  • Design-based estimation framework extended from two-group RCTs to multi-armed RCTs: The article develops design-based estimators for average treatment effects in randomized controlled trials with multiple research groups, building on an existing framework for single treatment-control designs. As the abstract states, "This article builds on this framework to develop design-based estimators for evaluations with multiple research groups." The framework addresses how two-group estimators must be adjusted when analysis involves pairwise contrasts across research groups. (Peter Z. Schochet (2018))

Claims

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Key Sources

  • Peter Z. Schochet. (2017). Multi-Armed RCTs: A Design-Based Framework. Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. https://ies.ed.gov
  • Peter Z. Schochet. (2018). Design-Based Estimators for Average Treatment Effects for Multi-Armed RCTs. Journal of Educational and Behavioral Statistics, vol. 43, issue 5. https://www.mathematica.org/publications/design-based-estimators-for-average-treatment-effects-for-multi-armed-rcts
Page metadata
Field Value
type research-method
id multi-armed-randomized-trial-analysis
title Multi-armed randomized trial analysis
description The report's guidance is that analysts running studies with several intervention arms should not simply reuse two-group methods: estimators "need to be modified for the multi-armed design," hypothesis tests across pairwise contrasts require multiple comparison adjustments, and CACE estimation demand
status review
moved_from theory/design-based-estimators-multi-armed-rcts
generated by process:settle-candidates on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — peter-z-schochet-2018

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