Abstract

A Monte-Carlo simulation was used to model the biasing of effect sizes in published studies. The findings from the simulation indicate that, when a predominant bias to publish studies with statistically significant results is coupled with inadequate statistical power, there will be an overestimation of effect sizes. The consequences such an effect size overestimation will then have on meta-analyses and power analyses are highlighted and discussed along with measures which can be taken to reduce the problem.

Keywords

Monte Carlo methodStatistical powerSample size determinationPublication biasStatisticsPublicationMeta-analysisEconometricsComputer sciencePsychologyMathematicsMedicine

MeSH Terms

HumansPsychologyPublishingResearch

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Publication Info

Year
2008
Type
article
Volume
106
Issue
2
Pages
645-649
Citations
54
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

54
OpenAlex
0
Influential
38
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Cite This

Andrew Brand, M. T. Bradley, Lisa A. Best et al. (2008). Accuracy of Effect Size Estimates from Published Psychological Research. Perceptual and Motor Skills , 106 (2) , 645-649. https://doi.org/10.2466/pms.106.2.645-649

Identifiers

DOI
10.2466/pms.106.2.645-649
PMID
18556917

Data Quality

Data completeness: 81%