Meta-analysis provides a powerful tool for integrating findings from the research literature and building statistical models to explore trends and inconsistencies in the research base. Meta-analysis starts with a process for translating results from each study into an effect size that represents all findings in a common metric. Statistical models are then applied to estimate the mean, variance, and moderators of effect size. This article explores several key decision points in conducting a meta-analysis, including issues in obtaining a common metric, accounting for psychometric artifacts, and choosing an appropriate statistical model. It provides recommendations for choosing among alternate approaches and reporting results to ensure transparency.

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组织研究中的荟萃分析：方法选择指南

荟萃分析提供了一个强大的工具，可以整合研究文献中的发现并建立统计模型，以探索研究基础中的趋势和不一致之处。荟萃分析首先将每项研究的结果转化为效应大小，该效应大小代表通用指标中的所有发现。然后应用统计模型来估计效应大小的均值、方差和调节因子。本文探讨了进行荟萃分析时的几个关键决策点，包括获取通用指标、考虑心理测量假象以及选择适当的统计模型等问题。它提供了选择替代方法和报告结果的建议，以确保透明度。