For what it's worth, Uri Simonsohn – who is himself one of the leading figures trying to change how science is done/reported to be more transparent – has published a few papers disputing Francis' claims and techniques; Simonsohn's articles are worth reading just so you can find out the story behind "Francis' tests are like a young Swedish couple", which Simonsohn uses as a section header! The article titles (copied from his website) and links to the articles on his website are below.
My take on Simonsohn's responses is that he seems to be of the opinion "yes, there's problems in the lit; no, Francis' analyses are not accurate." I'll state up front that I haven't read Francis' 2014 PBR paper in depth, so it's possible (hopefully probable) his new analysis addresses these previous critiques of Simonsohn's.
Simonsohn (2012) "It Does Not Follow: Evaluating the One-Off Publication Bias Critiques by Francis (2012a,b,c,d,e,f), Perspectives on Psychological Science, V7(6), 597-599 - http://opim.wharton.upenn.edu/~uws/papers/follow.pdf
Simonsohn (2013) "It Really Just Does Not Follow, Comments on Francis (2013)", invited commentary for the Journal of Mathematical Psychology, V57(5) p.174-176 - http://opim.wharton.upenn.edu/~uws/papers/not_follow_2.pdf
From: Organizational Behavior Division Listserv [mailto:OB@AOMLISTS.PACE.EDU] On Behalf Of Rob Briner
Sent: Friday, March 21, 2014 4:33 AM
To: OB@AOMLISTS.PACE.EDU
Subject: Re: [OB-LIST] Simmer data on low heat until statistically significant
Thanks Mike
Very interesting study of publication bias. Add to this all the other things we've discussed here including NHST, honorary authorships, the dropping of participants, hypothesizing after the results are known, and so on, and so on, it seems that we as a 'community' have a some profound ethical and scientific problems. As Ernest O'Boyle put it in his Wall Street Journal interview about his JoM paper: ""If practitioners can't trust what's coming out of academia, we don't have a reason to exist."
I know some people are optimistic that things are happing to improve this – and perhaps it is happening in other fields – but in management and OB it just seems like (fishy) business as usual. I'm not sure why. Do most people think all this stuff is fine and just disagree that these problems really are problems? Or is more that we can't think of easy ways of dealing with these problems so it's better to not do anything?
I'd be really interested to know what others think.
Cheers
Rob
Rob B Briner | Professor of Organizational Psychology | School of Management | University of Bath
Vice-Chair Academic Council | Center for Evidence-Based Management (www.cebma.org)
From: Organizational Behavior Division Listserv [mailto:OB@AOMLISTS.PACE.EDU] On Behalf Of Michael A McDaniel
Sent: 20 March 2014 22:28
To: OB@AOMLISTS.PACE.EDU
Subject: [OB-LIST] Simmer data on low heat until statistically significant
One just has to like a guy who can credibly argue that 82% of the analyzed articles in an "A" journal are likely based on questionable research practices or data suppression. Maybe he can do a management journal study next.
http://www1.psych.purdue.edu/~gfrancis/Publications/Francis2014PBR.pdf
Francis, G. (in press). The frequency of excess success for articles in Psychological Science. Psychonomic Bulletin & Review.
"Recent controversies have questioned the quality of scientific practice in the field of psychology, but these concerns are often based on anecdotes and seemingly isolated cases. To gain a broader perspective, this article applies an objective test for excess success to a large set of articles published in the journal Psychological Science between 2009-2012. When empirical studies succeed at a rate much higher than is appropriate for the estimated effects and sample sizes, readers should suspect that unsuccessful findings were suppressed, the experiments or analyses were improper, or that the theory does not properly account for the data. The analyses conclude problems for 82% (36 out of 44) of the articles in Psychological Science that have four or more experiments and could be analyzed."
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Michael A. McDaniel, Ph.D. - Professor, Department of Management,
Virginia Commonwealth University 301 West Main Street, PO Box 844000
Research Professor, VCU Department of Psychology