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Reply to Rouder (2014) : good frequentist properties raise confidence
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Sanborn, Adam N., Hills, Thomas Trenholm, Dougherty, Michael R., Thomas, Rick P., Yu, Erica C. and Sprenger, Amber M. (2014) Reply to Rouder (2014) : good frequentist properties raise confidence. Psychonomic Bulletin & Review , Volume 21 (Number 2). pp. 309-311. doi:10.3758/s13423-014-0607-4
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WRAP-Reply-frequentist-properties-confidence-Sanborn-2017.pdf - Accepted Version - Requires a PDF viewer. Download (414Kb) | Preview |
Official URL: http://dx.doi.org/10.3758/s13423-014-0607-4
Abstract
Established psychological results have been called into question by demonstrations that statistical significance is easy to achieve, even in the absence of an effect. One often-warned-against practice, choosing when to stop the experiment on the basis of the results, is guaranteed to produce significant results. In response to these demonstrations, Bayes factors have been proposed as an antidote to this practice, because they are invariant with respect to how an experiment was stopped. Should researchers only care about the resulting Bayes factor, without concern for how it was produced? Yu, Sprenger, Thomas, and Dougherty (2014) and Sanborn and Hills (2014) demonstrated that Bayes factors are sometimes strongly influenced by the stopping rules used. However, Rouder (2014) has provided a compelling demonstration that despite this influence, the evidence supplied by Bayes factors remains correct. Here we address why the ability to influence Bayes factors should still matter to researchers, despite the correctness of the evidence. We argue that good frequentist properties mean that results will more often agree with researchers’ statistical intuitions, and good frequentist properties control the number of studies that will later be refuted. Both help raise confidence in psychological results.
| Item Type: | Journal Item | ||||
|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BC Logic B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics |
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| Divisions: | Faculty of Science > Psychology | ||||
| Library of Congress Subject Headings (LCSH): | Bayesian statistical decision theory , Mathematical statistics , Probabilities, Statistical hypothesis testing | ||||
| Journal or Publication Title: | Psychonomic Bulletin & Review | ||||
| Publisher: | Psychonomic Society | ||||
| ISSN: | 1069-9384 | ||||
| Official Date: | 2014 | ||||
| Dates: |
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| Date of first compliant deposit: | 6 April 2017 | ||||
| Volume: | Volume 21 | ||||
| Number: | Number 2 | ||||
| Page Range: | pp. 309-311 | ||||
| DOI: | 10.3758/s13423-014-0607-4 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access |
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