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. Current claims rest on a dubious procedure called meta-analysis in which the statistically insignificant results of many experiments are combined as if they were a single, controlled experiment. Meta-analysis incorporates a procedure for taking the file-drawer effect into account. The file-drawer effect refers to the practice of researchers filing away studies with negative outcomes. Meta-Analysis and the File-Drawer Effect.
This method is known as the fail-safe file drawer (FSFD) analysis. This analysis involves calculating a fail-safe number, which is then used to estimate whether or not the file-drawer problem is likely. The file drawer effect, or problem, refers to the occurrence of a number of studies in a particular field of psychology being conducted, but never reported. This then causes problems for processes such as meta-analysis, which consequently may need to take into account the possibility of a bias. The File Drawer Problem is actually related to another serious scientific problem known as the Desk Problem.
Abstract. The file drawer problem is considered one of the biggest threats to the validity of meta-analytic conclusions. The assumption is that null results are less likely to be published in primary-level studies and, hence, less likely to be included in meta-analytic reviews, thereby resulting in an upwardly biased sample of primary-level effect size estimates and upwardly biased meta-analytically derived effect sizes. A general, weighted fail-safe calculation, grounded in the meta-analysis framework, applicable to both fixed- and random-effects models, is proposed. A general, weighted fail-safe calculation, grounded in the meta-analysis framework, applicable to both fixed- and random-effects models, is proposed. Keywords: Fail-safe numbers, file drawer problem, meta-analysis, publication bias, statistical methods.
What Is The Drawer And Why Is It An Issue?
M. T. BRADLEY and R. D. GUPTA (1997) ESTIMATING THE EFFECT OF THE FILE DRAWER PROBLEM IN META-ANALYSIS. Perceptual and Motor Skills: Volume 85, Issue, pp. Evolution. 2005 Feb;59(2):464-8. The file-drawer problem revisited: a general weighted method for calculating fail-safe numbers in meta-analysis. Rosenberg MS1. New Study Sheds Light on File Drawer Problem. These findings show that a vital part of developing institutional solutions to improve scientific transparency would be to understand better the motivations of researchers who choose to pursue projects as a function of results Proposed solutions such as two-stage review (the first stage for the design and the second for the results), pre-analysis plans, and requirements to pre-register studies should be complemented by incentives to not bury insignificant results in file drawers. Function to compute the fail-safe N (also called file drawer analysis).