As a vital tool for advancing cumulative science and guiding evidence-based practice, meta-analysis has advanced many research fields of the behavioral and social sciences, including worker age and aging. Nonetheless, there is still room for improvement, particularly in terms of meta-analytic methods and procedures. In this article, we overview some influential meta-analyses on worker age and aging concerning their psychometric correction methods and procedures, identify potential controversies and issues, and offer suggestions for improvement, particularly in corrections for two major methodological artifacts (i.e., range variation and measurement error). We also debunk some myths that both researchers and journal reviewers may encounter regarding how to conduct psychometric meta-analyses and discuss implications and agendas for future research on worker age and aging. We hope this article will help researchers in the field of age and aging and beyond to conduct a psychometric meta-analysis while harnessing the benefits of psychometric corrections and meta-analysis.

中文翻译：

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Meta 分析中心理测量校正的改进建议以及对工人年龄和老龄化研究的启示

作为推进累积科学和指导循证实践的重要工具，元分析推动了行为和社会科学的许多研究领域，包括工人年龄和老龄化。尽管如此，仍有改进的余地，特别是在元分析方法和程序方面。在本文中，我们概述了一些关于工人年龄和老龄化的有影响的元分析，涉及他们的心理测量校正方法和程序，识别潜在的争议和问题，并提供改进建议，特别是在对两个主要方法学工件（即范围变化和测量误差）。我们还揭穿了研究人员和期刊审稿人可能会遇到的一些关于如何进行心理测量元分析的神话，并讨论未来关于工人年龄和老龄化研究的影响和议程。我们希望本文将帮助年龄和衰老领域及其他领域的研究人员进行心理测量元分析，同时利用心理测量校正和元分析的好处。