Evaluating meta-analysis as a replication success measure
We conclude that when using meta-analysis as a replication success metric, it has a relatively high probability of finding evidence in favour of a non-zero population effect even when it is zero. This behaviour largely results from the significance of the original study. Furthermore, we argue that there are fundamental reasons against using meta-analysis as a metric for replication success.
Authors
- Don van Ravenzwaaij (ORCID: https://orcid.org/0000-0002-5030-4091)
- Henk A. L. Kiers (ORCID: https://orcid.org/0000-0002-4995-9349)
- Jasmine Muradchanian (ORCID: https://orcid.org/0000-0002-2914-9197)
- Rink Hoekstra (ORCID: https://orcid.org/0000-0002-1588-7527)
Institutions
- University of Groningen (NL)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1371/journal.pone.0308495
- Citations
- 1
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.46