Suggestions for Improvement in Psychometric Corrections in Meta-analysis and Implications for Research on Worker Age and Aging

Abstract

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.