Six ways to handle dependent effect sizes in meta-analytic structural equation modeling: Is there a gold standard?

ABSTRACT: The current meta-analytic structural equation modeling (MASEM) techniques cannot properly deal with cases where there are multiple effect sizes available for the same relationship from the same study. Existing applications either treat these effect sizes as independent, randomly select one effect size amongst many, or create an average effect size. None of these approaches deal with the inherent dependency in effect sizes, and either leads to biased estimates or loss of information and power. An alternative technique is to use univariate three-level modeling in the two-stage approach to model these dependencies. These different strategies for dealing with dependent effect sizes in the context of MASEM have not been previously compared in a simulation study. This study aims to compare the p

SUBMITTER: Bilici ZS 

PROVIDER: S-EPMC12621510 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature