What question did this study set out to answer?

To evaluate whether standardized regression (beta) coefficients can effectively substitute for missing correlation coefficients in meta-analyses.

January 1, 2005Journal of Applied Psychology

On the Use of Beta Coefficients in Meta-Analysis.

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Authors

RPRobert A. PetersonThe University of Texas at Austin SBSteven P. BrownUniversity of Warwick

Discussion

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Overview

Methodological evaluation demonstrates accurate effect-size estimation in published empirical literature, indicating reduced sampling and non-sampling errors across meta-analyses.

Key Points

To evaluate whether standardized regression (beta) coefficients can effectively substitute for missing correlation coefficients in meta-analyses.
Extracted and analyzed more than 1,700 pairs of corresponding standardized regression (beta) coefficients and correlation coefficients from published literature.
Inputting missing correlation effect sizes using corresponding beta coefficients generally yields accurate and precise population effect-size estimates under specific conditions.
Imputing missing values with beta coefficients decreases sampling errors by expanding effect-size sample sizes and diminishes non-sampling errors by enabling inclusion of diverse study designs.

Cite This Study

Peterson et al. (2005) studied this question.

synapsesocial.com/papers/69d77af8f44a16d01ef31522 https://doi.org/10.1037/0021-9010.90.1.175

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January 1, 2005Journal of Applied Psychology

On the Use of Beta Coefficients in Meta-Analysis.

View Full Paper

Ask AI

Bookmark

Authors

RPRobert A. PetersonThe University of Texas at Austin SBSteven P. BrownUniversity of Warwick

Discussion

Member takes

Overview

Methodological evaluation demonstrates accurate effect-size estimation in published empirical literature, indicating reduced sampling and non-sampling errors across meta-analyses.

Key Points

To evaluate whether standardized regression (beta) coefficients can effectively substitute for missing correlation coefficients in meta-analyses.
Extracted and analyzed more than 1,700 pairs of corresponding standardized regression (beta) coefficients and correlation coefficients from published literature.
Inputting missing correlation effect sizes using corresponding beta coefficients generally yields accurate and precise population effect-size estimates under specific conditions.
Imputing missing values with beta coefficients decreases sampling errors by expanding effect-size sample sizes and diminishes non-sampling errors by enabling inclusion of diverse study designs.

Cite This Study

Peterson et al. (2005) studied this question.

synapsesocial.com/papers/69d77af8f44a16d01ef31522 https://doi.org/10.1037/0021-9010.90.1.175

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