Welcome

This page contains supplementary material for "The consistency test may be too weak to be useful: Its systematic application would not improve effect size estimation in meta-analyses" by Joachim Vandekerckhove, Maime Guan, and Steven A. Styrcula ().

This site contains resources that may not be archival or reviewed. The files made available here may not be what they seem at first sight. Please do not cite without consulting the authors.

Files

— Currently no files available

Abstract

If the consistency test were used to select papers for inclusion in meta-analysis, the resulting estimates of true effect sizes would be no less biased. Increasing its detection rate at the risk of a higher false alarm rate biases the pooled effect size estimates more—not less—because papers reporting large effect sizes are less likely to be judged inconsistent.

disclaimer By clicking on any of these links (including, but not limited to, the downloading of any PDF file from any server), you agree to forfeit and cede on your own behalf and on behalf of any past, current, or future employer, any exclusive claim to intellectual property or copyright relating to any of the materials so obtained.