Testing the Storm et al. (2010) meta-analysis using Bayesian and frequentist approaches: reply to Rouder et al. (2013).
Abstract
Rouder, Morey, and Province (2013) stated that (a) the evidence-based case for psi in Storm, Tressoldi, and Di Risio's (2010) meta-analysis is supported only by a number of studies that used manual randomization, and (b) when these studies are excluded so that only investigations using automatic randomization are evaluated (and some additional studies previously omitted by Storm et al., 2010, are included), the evidence for psi is "unpersuasive." Rouder et al. used a Bayesian approach, and we adopted the same methodology, finding that our case is upheld. Because of recent updates and corrections, we reassessed the free-response databases of Storm et al. using a frequentist approach. We discuss and critique the assumptions and findings of Rouder et al.
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Storm, Tressoldi and Utts (2013), after revising the database, conducted a Bayesian analysis showing that the psi effect, measured as a percentage hit-rate, lies between 26% and 32%, where MCE = 25%.
“Storm, Tressoldi and Utts (2013), after revising the database, conducted their own Bayesian analysis and showed that the psi effect, measured as a percentage hit-rate, lies somewhere between 26% and 32%, where MCE = 25%.”
From On the correspondence between dream content and target material under laboratory conditions: A meta-analysis of dream-ESP studies, 1966-2016 (2017) · cites this paper as Storm, Tressoldi and Utts (2013)
Cites
Empirically supported psychological interventions: Controversies and evidence
Chambless, D. L., & Ollendick, T. H. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.685 · Cited by 2,097 · see citing works
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Barry, J. (2011) · Europe’s Journal of Psychology · doi:10.5964/ejop.v7i4.163 · Cited by 563 · see citing works
Storm, L., Tressoldi, P. E., & Di Risio, L. (2010) · Psychological Bulletin · doi:10.1037/a0019457 · Cited by 140 · see citing works
Self-citationMust psychologists change the way they analyze their data?
Bem, D. J., Utts, J., & Johnson, W. O. (2011) · Journal of Personality and Social Psychology · doi:10.1037/a0024777 · Cited by 105 · see citing works
Self-citationRouder, J. N., Morey, R. D., & Province, J. M. (2013) · Psychological Bulletin · doi:10.1037/a0029008 · Cited by 48 · see citing works
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Using Bayes to get the most out of non-significant results
Dienes, Z. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00781 · Cited by 1,998 · see citing works
Storm, L., Sherwood, S. J., Roe, C. A., Tressoldi, P. E., Rock, A. J., & Di Risio, L. (2017) · International Journal of Dream Research · doi:10.11588/ijodr.2017.2.34888 · Cited by 29 · see citing works
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- Authors
- Storm, L., Tressoldi, P. E., & Utts, J.
- Venue
- Psychological Bulletin
- Published
- 2013-01
- Volume
- 139
- Issue
- 1
- Pages
- 248-254
- ISSN
- 1939-1455
- 0033-2909
- Cited by
- 12
- References
- 5
- Language
- en
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