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.

中文翻译：

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组织研究中的荟萃分析：方法学选择指南


荟萃分析为整合研究文献中的发现和建立统计模型以探索研究基础中的趋势和不一致提供了一个强大的工具。Meta 分析从将每项研究的结果转化为代表通用指标中所有发现的效应大小的过程开始。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的几个关键决策点，包括获得通用指标、考虑心理测量伪影和选择合适的统计模型的问题。它为在替代方法和报告结果之间进行选择提供了建议，以确保透明度。