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The consistency test may be too weak to be useful: Its systematic application would not improve effect size estimation in meta-analyses

J. Vandekerckhove and M. Guan and S. Styrcula 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. DOI: 10.1016/j.jmp.2013.03.007

Citation

Vandekerckhove, J., Guan, M., & Styrcula, S. (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.

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BibTeX

@article{vandekerckhove2013consistency,
  title     = {The consistency test may be too weak to be useful: Its systematic application would not improve effect size estimation in meta-analyses},
  author    = {Vandekerckhove, J. and Guan, M. and Styrcula, S.},
  journal   = {Journal of Mathematical Psychology},
  year      = {2013},
  volume    = {57},
  pages     = {170--173},
  doi       = {10.1016/j.jmp.2013.03.007},
}