Archive for the ‘sage’ Category
Fred Walumbwa, a management researcher with
eight seven retractions, has received three expressions of concern from two journals after he failed to provide raw data following an investigation into potential errors.
In the past, Walumbwa has said he only keeps data until his papers are published, but a lack of raw data has become a common theme in his notices, which now also include four corrections, and one other EOC (making a new total of four). There are no standard rules about how long to store raw data, but one journal that issued two of the new EOCs has since updated its submission policy to require that authors keep data for at least five years.
Walumbwa currently works at Florida International University. When concerns about the statistics were raised about five of his papers in Personnel Psychology, the journal conducted an investigation that led to flagging two of those articles, the expression of concern explains:
A psychology journal is retracting a 2015 paper that attracted press coverage by suggesting women’s hormone levels drive their desire to be attractive, after a colleague alerted the last author to flaws in the statistical analysis.
The paper, published online in November, found women prefer to wear makeup when there is more testosterone present in their saliva. The findings were picked up by various media including Psychology Today (“Feeling hormonal? Slap on the makeup”), and even made it onto reddit.com.
However, upon discovering a problem in the analysis of the data, the authors realized that central finding didn’t hold up, according to Psychological Science‘s interim editor, Stephen Lindsay: Read the rest of this entry »
The editor of a special issue of a math journal — and author of many of the papers in it — has officially retracted the entire thing, after promising to withdraw it last year following issues with the review process.
According to the note in Mathematics and Mechanics of Solids, the peer-review process was “less rigorous than the journal requires.” Indeed, that process was coordinated by guest editor David Y. Gao, a mathematician at the Federation University Australia, who was also author on 11 of the 13 papers present in the issue.
Gao told us in November that he was withdrawing the issue because he thought it would be better suited as a book.
Here is the official retraction note, which focuses on the conflict of interest:
An investigation has uncovered fake reviews on 21 papers submitted to the Journal of the Renin-Angiotensin Aldosterone System.
After taking a second look at accepted papers with an author-nominated reviewer, the journal discovered that the listed reviewers on the 21 papers, though real people, had never submitted a report.
Eight of the papers have been retracted by JRAAS. The rest had not yet been published, and have now been rejected, explains a commentary by the journal editors. The journal has also stopped allowing authors to nominate reviewers.
The retraction note — the same on all eight papers — explains how the authors “seriously compromised” the review process:
The authors of a paper on supportive supervisors just want readers to “better understand the reported findings,” and so have issued multiple “clarifications” in a corrigendum note.
The paper’s author list includes one Fred Walumbwa, formerly an Arizona State University management researcher, some of whose work has succumbed to scrutiny in the the past two years. His current list: seven retractions, a megacorrection, an expression of concern, and now this.
“Unraveling the relationship between family-supportive supervisor and employee performance,” published in Group & Organization Management, has been cited twice, according to Thomson Scientific’s Web of Knowledge.
Here’s the note in full:
The articles, published online earlier this year, recently received an expression of concern after the journal realized the guest editor David Gao, at the Federation University Australia, had coordinated the peer-review process. This was a major no-no, since Gao was also an author of 11 of the 13 papers. Mathematics and Mechanics of Solids slated the articles to be peer reviewed again, by reviewers not chosen by Gao.
Gao told us what happened next, from his perspective — he changed his mind about publishing the papers in MMS:
That’s according to a new paper in the Journal of Language and Social Psychology by a pair of linguists at Stanford University who say that the writing style of data cheats is distinct from that of honest authors. Indeed, the text of science papers known to contain fudged data tends to be more opaque, less readable and more crammed with jargon than untainted articles.
The authors, David Markowitz and Jeffrey Hancock, also found that papers with faked data appear to be larded up with references – possibly in an attempt to make the work more cumbersome for readers to wade through, or to tart up the manuscript to make it look more impressive and substantial. As Markowitz told us: Read the rest of this entry »
Thirteen papers in Mathematics and Mechanics of Solids now have an expression of concern, after it came to light that an author on most of the papers coordinated the peer-review process.
David Y. Gao, a well-known and prolific mathematician at the Federation University Australia, is the author of 11 of the papers, and also the guest editor of the special issue in which they were set to appear. The papers were published online earlier this year.
A spokesperson for SAGE, which publishes the journal, confirmed that the publisher decided to re-review the papers after learning about Gao’s role in the peer-review process:
The original, headline-spawning conclusion was that the risk of divorce in a heterosexual marriage increases when the wife falls ill, but not the husband. The revised results — published again in the Journal of Health and Social Behavior, along with lengthy explanations from the authors and editors — are more nuanced: Gender only significantly correlates with divorce rate in the case of heart disease.
The authors’ note, from Iowa State’s Amelia Karraker and Kenzie Latham, at Indiana University-Purdue University Indianapolis, explains that the coding error led them to over-estimate how many marriages ended in divorce:
It may not be much of a surprise that narcissistic CEOs of pharmaceutical companies will make bold choices, such as adopting radically new technology. That idea remains true, despite a lengthy correction to a paper that supports it.
The paper, “CEO Narcissism, Audience Engagement, and Organizational Adoption of Technological Discontinuities,” in Administrative Science Quarterly, found support for the following hypothesis: