Literature DB >> 20382930

Replication is not coincidence: reply to Iverson, Lee, and Wagenmakers (2009).

Bruno Lecoutre1, Peter R Killeen.   

Abstract

Iverson, Lee, and Wagenmakers (2009) claimed that Killeen's (2005) statistic prep overestimates the "true probability of replication." We show that Iverson et al. confused the probability of replication of an observed direction of effect with a probability of coincidence--the probability that two future experiments will return the same sign. The theoretical analysis is punctuated with a simulation of the predictions of prep for a realistic random effects world of representative parameters, when those are unknown a priori. We emphasize throughout that prep is intended to evaluate the probability of a replication outcome after observations, not to estimate a parameter. Hence, the usual conventional criteria (unbiasedness, minimum variance estimator) for judging estimators are not appropriate for probabilities such as p and prep.

Mesh:

Year:  2010        PMID: 20382930     DOI: 10.3758/pbr.17.2.263

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  8 in total

1.  Killeen's probability of replication and predictive probabilities: how to compute, use, and interpret them.

Authors:  Bruno Lecoutre; Marie-Paule Lecoutre; Jacques Poitevineau
Journal:  Psychol Methods       Date:  2010-06

2.  Replicability, confidence, and priors.

Authors:  Peter R Killeen
Journal:  Psychol Sci       Date:  2005-12

3.  Beyond statistical inference: a decision theory for science.

Authors:  Peter R Killeen
Journal:  Psychon Bull Rev       Date:  2006-08

4.  P(rep) misestimates the probability of replication.

Authors:  Geoffrey J Iverson; Michael D Lee; Eric-Jan Wagenmakers
Journal:  Psychon Bull Rev       Date:  2009-04

5.  Equivalence of the statistics for replicability and area under the ROC curve.

Authors:  R John Irwin
Journal:  Br J Math Stat Psychol       Date:  2008-11-17       Impact factor: 3.380

6.  What is the probability of replicating a statistically significant effect?

Authors:  Jeff Miller
Journal:  Psychon Bull Rev       Date:  2009-08

7.  Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better.

Authors:  Geoff Cumming
Journal:  Perspect Psychol Sci       Date:  2008-07

8.  The Prep statistic as a measure of confidence in model fitting.

Authors:  F Gregory Ashby; Jeffrey B O'Brien
Journal:  Psychon Bull Rev       Date:  2008-02
  8 in total

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