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May 17, 2026Journal of Applied Psychology0 citations

Bridging a gap in meta-analytical practices: A superior approach for converting standardized beta weights to correlations.

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PSPiers SteelHFHadi FariborziPDPatrick D. Dunlop

Key Points

  • The aim is to propose a method for accurately converting standardized beta weights to correlation coefficients and to address error variance.
  • Recommendations for reevaluating previous uses of beta weights in meta-analysis.
  • Proposed imputation techniques for aggregating standardized beta weights.
  • Advocating for routine reporting of correlation matrices.
  • Identifies that beta weights lose up to 99% of the information by not using correlation matrices.
  • Suggests that using the new imputation techniques can preserve critical data for scientific fields.

Abstract

, correctly identify error variance. Due to imputation error, reporting beta weights alone typically destroys 95% to over 99% of the information originally held by a full correlation matrix. For fields that almost exclusively report betas, such as economics, it necessarily hampers them from becoming cumulative sciences. We recommend that all previous uses of Peterson and Brown be reevaluated, future aggregations of standardized beta weights use our provided imputation techniques, and correlation matrices be routinely reported. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

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Cite This Study

Steel et al. (2026) studied this question.

synapsesocial.com/papers/6a095ac47880e6d24efe0a37https://doi.org/10.1037/apl0001379
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