Bridging a gap in meta-analytical practices: A superior approach for converting standardized beta weights to correlations.
研究发现，仅报告贝塔权重会破坏95%至99%的相关矩阵信息，阻碍经济学等领域的累积科学进展。本文推荐使用新的插补技术替代Peterson和Brown方法，并建议常规报告相关矩阵。
, 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).