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Information on IES-Funded Research
Grant Open

Identifying Best Practices for Estimating Average Treatment Effects in Cluster Randomized Trials: Estimands, Estimators, and Estimates

NCER
Program: Statistical and Research Methodology in Education
Program topic(s): Core
Award amount: $898,275
Principal investigator: Michael Weiss
Awardee:
MDRC
Year: 2022
Project type:
Methodological Innovation
Award number: R305D220046

Purpose

The purpose of this grant is to provide guidance to applied researchers on the best estimands and estimators of those estimands for analyses of cluster randomized control trials (CRTs).

Project Activities

The researchers will use Monte Carlo simulations based on actual CRT design features to gauge the comparative accuracy of the estimators and their standard errors. The research team will also conduct secondary analyses of real data from several CRTs in order to illustrate differences in practice among the numerical values of the estimators and standard errors, as well as the interpretations of the estimators, given their underlying estimands.

People and institutions involved

IES program contact(s)

Charles Laurin

Education Research Analyst
NCER

Products and publications

Products: The research team will publish a synthesis of the results online and as a peer-reviewed journal manuscript. The researchers will also publish a user-friendly R package that will be able to conduct analyses to provide all the estimators investigated as part of the grant work. They will  present research findings and the software package at conferences and at workshops on using the software.

Supplemental information

Co-Principal Investigator: Miratrix, Luke

Questions about this project?

To answer additional questions about this project or provide feedback, please contact the program officer.

 

Tags

Mathematics

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Questions about this project?

To answer additional questions about this project or provide feedback, please contact the program officer.

 

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