Consequences of Selective Reporting Bias in Education Research

The most popular meta-analytic methods have serious limitations in diagnosing and adjusting for selective reporting, especially when there are dependencies among multiple effects from primary studies, a widespread occurrence. For meta-analysis of independent effects, selection models have shown promise in flexibly capturing complex reporting patterns while providing adjusted meta-analytic estimates, but no existing model also simultaneously addresses effect size dependencies. The purpose of this project is to develop two selection models that will simultaneously account for selective reporting and effect size dependencies.