Addressing Publication Bias in Meta-Analysis

Publication Bias in Meta-Analysis

Publication bias is the term for what occurs whenever the research that appears in the published literature is systematically unrepresentative of the population of completed studies. Simply put, when the research that is readily available differs in its results from the results of all the research that has been done in an area, readers and reviewers of that research are in danger of drawing the...

Adjusting for Publication Bias in Meta-Analysis

We review and evaluate selection methods, a prominent class of techniques first proposed by Hedges (1984) that assess and adjust for publication bias in meta-analysis, via an extensive simulation study. Our simulation covers both restrictive settings as well as more realistic settings and proceeds across multiple metrics that assess different aspects of model performance. This evaluation is tim...

Correcting Publication Bias In Meta-Analysis: A Truncation Approach

Publication bias in meta-analysis: Prevention, assessment and adjustments

Each study that is published about the effect of an independent variable on a dependent one, or the strength of the relationship between two variables, constitutes only a single piece in a constantly growing body of evidence. For example, over one hundred studies have been carried out to determine the relationship between employment interview performance and job performance (McDaniel, Whetzel, ...

Journal Quality, Effect Size and Publication Bias in Meta-analysis

A simple, empirical method of detecting evidence of publication bias in metaanalyses is proposed, based on the relationship between the strength of the results in published studies and the quality of the journals in which they appear. In an illustration of its use, the method is applied to published meta-analyses of terrestrial plant competition, predation in streams, woody plant growth under e...