Statistical power is the probability of detecting an effect in a sample if the effect exists in reality. Publication bias can be a reason for a correlation between ES and SS (as we will argue here), but there can be other reasons: power analysis, the use of multiple items, and adaptive sampling. Here we provide evidence that there is a considerable correlation between ES and SS across the entire discipline of psychology: small sample studies often produce larger ES than studies using large samples. Importantly, ES and sample size (SS) ought to be unrelated. Thus, ES offer information beyond p-values. The Relationship between Effect Size and Sample SizeĪn ES is a measure of the strength of a phenomenon which estimates the magnitude of a relationship. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. All relevant data are within the paper and its Supporting Information files.įunding: This research was supported by a DOC-fFORTE-fellowship of the Austrian Academy of Sciences to Astrid Fritz. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: The authors confirm that all data underlying the findings are fully available without restriction. Received: ApAccepted: JPublished: September 5, 2014Ĭopyright: © 2014 Kühberger et al. PLoS ONE 9(9):Įditor: Daniele Fanelli, Université de Montréal, Canada Citation: Kühberger A, Fritz A, Scherndl T (2014) Publication Bias in Psychology: A Diagnosis Based on the Correlation between Effect Size and Sample Size.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |