Publication bias is also called the file drawer problem, especially when the nature of the bias is that studies which fail to reject the null hypothesis (i. The file-drawer effect refers to the practice of researchers filing away studies with negative outcomes. One particularly nasty problem is the File Drawer Problem. The File Drawer Problem is actually related to another serious scientific problem known as the Desk Problem.
A popular term for a type of publication bias in which either investigators fail to report their results, or journals have no interest in publishing results of a study that is negative for a particular trend. Even the most fervent parapsychologists recognize this problem. Meta-analysis incorporates a procedure for taking the file-drawer effect into account. Radin says it shows that more than 3,300 unpublished, unsuccessful reports would be needed for each published report in order to nullify the statistical significance of psi. File Drawer.jpeg On Wednesday I wrote about growing skepticism among psychologists about the validity of behavioral priming.
In 1979, Robert Rosenthal (author of the best statistics text I ever used) wrote a now-classic paper on the file drawer problem. In the thirty-odd years since, other authors have explored the problem empirically (including at least one study that concluded it’s not much of a problem at all, which nonetheless has not become the accepted wisdom). Stanford political economist Neil Malhotra and two of his graduate students examined every study since 2002 that was funded by a competitive grants program called TESS (Time-sharing Experiments for the Social Sciences). Fail-safe numbers, file drawer problem, meta-analysis, publication bias, statistical methods.
File Drawer Problem
This bias, often called the file-drawer effect since the unpublished results are imagined to be tucked away in researchers’ file cabinets, is potentially a severe impediment to combining the statistical results of studies collected from the literature. In this forum, Csada et al. (1996) have recently dis- cussed the so-called file drawer problem, the possibility that for every published paper reporting a significant. Hedges, Larry V. Selection Models and the File Drawer Problem: Comment. Statist. Sci. 3 (1988), no. 1, 118–120. doi:10.1214/ss/1177013013. Keywords: Fail-safe numbers, file drawer problem, meta-analysis, publication bias, statistical methods. Publication bias: a problem in interpreting medical data.