Literature DB >> 21928916

Must psychologists change the way they analyze their data?

Daryl J Bem1, Jessica Utts, Wesley O Johnson.   

Abstract

Wagenmakers, Wetzels, Borsboom, and van der Maas (2011) argued that psychologists should replace the familiar "frequentist" statistical analyses of their data with bayesian analyses. To illustrate their argument, they reanalyzed a set of psi experiments published recently in this journal by Bem (2011), maintaining that, contrary to his conclusion, his data do not yield evidence in favor of the psi hypothesis. We argue that they have incorrectly selected an unrealistic prior distribution for their analysis and that a bayesian analysis using a more reasonable distribution yields strong evidence in favor of the psi hypothesis. More generally, we argue that there are advantages to bayesian analyses that merit their increased use in the future. However, as Wagenmakers et al.'s analysis inadvertently revealed, they contain hidden traps that must be better understood before being more widely substituted for the familiar frequentist analyses currently employed by most research psychologists. 2011 APA, all rights reserved

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Year:  2011        PMID: 21928916     DOI: 10.1037/a0024777

Source DB:  PubMed          Journal:  J Pers Soc Psychol        ISSN: 0022-3514


  14 in total

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8.  How to quantify the evidence for the absence of a correlation.

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10.  Feeling the future: A meta-analysis of 90 experiments on the anomalous anticipation of random future events.

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