The Study
A Comparative Evaluation of Psychometric Meta‐Analysis Methods in Management and Applied Psychology: Toward a Nuanced Understanding of Their Accuracy
This study is like a computer game that tests different math tools for combining research results. It shows which tool worked best in the game, but we don’t know if it will work the same way with real studies.
Analysis score
Maximum 0 for a computational/algorithm study.
Where the score came from
Scientists made fake data to test five ways of combining study results to find the true effect. They checked which method guessed best.
Where does this study sit?
Reviews of RCTs (Meta-analyses)
Max 100Randomized Trials
Max 90Reviews of Cohort Studies
Max 85Cohort Studies
Max 72Reviews of Case-Control Studies
Max 63Case-Control Studies
Max 58Cross-Sectional & Case Series
Max 50Expert Opinion
Max 50 / 100
Quality score
Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.
Key takeaways
Summary
Based on the study abstract and findings.
- 1The results suggest that while all random-effects methods work well, choosing the right one can slightly improve accuracy when combining study results in psychology and management.
- 2All random-effects methods guessed the average effect well.
- 3The best one used Schmidt and Hunter's method with special weights.
- 4Differences between methods were tiny.
Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data
Publication
Journal
Personnel Psychology
Year
2025
Authors
In‐Sue Oh, Huy Le, Frank L. Schmidt
Related Content
Claims (5)
Putting together lots of small studies gives a better guess about what's really going on in the whole population than looking at just one small study.
Random-effects meta-analysis is better than fixed-effect at guessing the true average result across different psychology and management studies, especially when fixing common data problems.
This math method for combining study results seems to give slightly more accurate answers than other similar methods when figuring out the true effect across many studies.
Some math methods for combining study results work better than others when trying to understand how much results vary — ones that adjust for more uncertainty give clearer answers, according to computer simulations in psychology research.
An old but popular way of combining study results isn't as good as some newer methods when it comes to accuracy in computer simulations that fix common measurement errors.
Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.