#### 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.

#### Citation

(2013). The consistency test may be too weak to be useful: Its systematic application would not improve effect size estimation in meta-analyses. Journal of Mathematical Psychology, 57, 170–173.

#### Bibtex

@article{vandekerckhove_etal:2013:consistency, title = {{T}he consistency test may be too weak to be useful: {I}ts systematic application would not improve effect size estimation in meta-analyses}, author = {Vandekerckhove, Joachim and Guan, Maime and Styrcula, Steven}, year = {2013}, journal = {Journal of Mathematical Psychology}, volume = {57}, pages = {170--173} }