ERIC Number: EJ885775
Record Type: Journal
Publication Date: 2010-Jun
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1082-989X
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Available Date: N/A
Replication, "p[subscript rep]," and Confidence Intervals: Comment Prompted by Iverson, Wagenmakers, and Lee (2010); Lecoutre, Lecoutre, and Poitevineau (2010); and Maraun and Gabriel (2010)
Cumming, Geoff
Psychological Methods, v15 n2 p192-198 Jun 2010
This comment offers three descriptions of "p[subscript rep]" that start with a frequentist account of confidence intervals, draw on R. A. Fisher's fiducial argument, and do not make Bayesian assumptions. Links are described among "p[subscript rep]," "p" values, and the probability a confidence interval will capture the mean of a replication experiment. The descriptions suggest the criticism of Maraun and Gabriel (2010) is unjustified. Iverson, Wagenmakers, and Lee (2010) discussed "p[subscript rep]" in terms of Bayesian model averaging. This went usefully beyond the dichotomous decision making of significance testing, but an extension to Bayesian estimation would be welcome. Lecoutre, Lecoutre, and Poitevineau (2010) referred to and extended their substantial research based on predictive approaches. Some of the links they make among "p" values, confidence intervals, and "p[subscript rep]" parallel links described earlier, although their conceptual framework is different. The interesting "p[subscript rep]" experiment in "Psychological Science" may be coming to a close; it suggests that statistical innovation, including that proposed by Iverson et al. (2010) and Lecoutre et al. (2010), is likely to be most successful if guided by cognitive evidence and supported by resources tailored for researchers generally. (Contains 3 figures.)
Descriptors: Replication (Evaluation), Measurement Techniques, Research Methodology, Validity, Evaluation Methods, Experiments, Evaluation Problems, Misconceptions, Bayesian Statistics, Hypothesis Testing, Predictive Measurement, Statistical Inference, Statistical Distributions, Statistical Significance, Probability, Effect Size
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Publication Type: Journal Articles; Opinion Papers
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Language: English
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