Mechanisms of Effect Size Differences Between Researcher Developed and Independently Developed Outcomes: An Item-Level Meta-Analysis

Differences in effect sizes between researcher-developed (RD) and independently developed (ID) outcome measures are widely documented but poorly understood in education research. We conduct a meta-analysis using item-level outcome data to test potential mechanisms that explain differences in effects by RD or ID outcome type. Our analysis of 54 effect sizes from 32 studies shows that greater standard deviations of item-specific treatment effects predict larger effect sizes and reduce the observed difference between RD and ID measures from 0.14 SDs to 0.12 SDs, leaving the remainder attributable to other factors. The findings advance our understanding of how item properties predict educational intervention outcomes and underscore the importance of considering item-level data for building theory in education research.

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Publication Details

Journal
Multivariate Behavioral Research
Published
2026-07-28
DOI
https://doi.org/10.1080/00273171.2026.2707650
Primary Topic
Psychometric Methodologies and Testing
Type
article
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article

Mechanisms of Effect Size Differences Between Researcher Developed and Independently Developed Outcomes: An Item-Level Meta-Analysis

James Soland, Joshua B. Gilbert
Multivariate Behavioral Research
Psychometric Methodologies and Testing
article

Mechanisms of Effect Size Differences Between Researcher Developed and Independently Developed Outcomes: An Item-Level Meta-Analysis

James Soland, Joshua B. Gilbert
article en

Abstract

Differences in effect sizes between researcher-developed (RD) and independently developed (ID) outcome measures are widely documented but poorly understood in education research. We conduct a meta-analysis using item-level outcome data to test potential mechanisms that explain differences in effects by RD or ID outcome type. Our analysis of 54 effect sizes from 32 studies shows that greater standard deviations of item-specific treatment effects predict larger effect sizes and reduce the observed difference between RD and ID measures from 0.14 SDs to 0.12 SDs, leaving the remainder attributable to other factors. The findings advance our understanding of how item properties predict educational intervention outcomes and underscore the importance of considering item-level data for building theory in education research.

Multivariate Behavioral Research
Massachusetts General Hospital (US), University of Virginia (US)
Quality Education
Openalex Percentile: Top 5%
Psychometric Methodologies and Testing
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