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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Univ Miami, Dept Management, Sch Business Adm, Coral Gables, FL 33124 USA
Sun Yat Sen Univ, Sun Yat Sen Business Sch, Guangzhou, Guangdong, Peoples R ChinaUniv Miami, Dept Management, Sch Business Adm, Coral Gables, FL 33124 USA
Luo, Yadong
Huang, Ying
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Univ Massachusetts Lowell, Coll Management, Lowell, MA USAUniv Miami, Dept Management, Sch Business Adm, Coral Gables, FL 33124 USA
Huang, Ying
Wang, Stephanie Lu
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Univ Miami, Dept Management, Sch Business Adm, Coral Gables, FL 33124 USAUniv Miami, Dept Management, Sch Business Adm, Coral Gables, FL 33124 USA