What is publication bias?
Researchers are more likely to publish a paper when that paper yields a relatively large treatment effect, and less likely to do so when the study yields a relatively small treatment effect. This can lead to a situation where the body of published studies is biased, in that it tends to exaggerate the true magnitude of the treatment effect. These issues are discussed in the book "Publication Bias in Meta-Analysis."
Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments
Hannah Rothstein, Alex J Sutton, Michael Borenstein (eds).
Hardcover, 392 Pages, Wiley, 2005
This book traces the history of the publication bias, explains how to assess the potential impact of bias in any given meta-analysis, and discusses mechanisms that are being adopted in hopes of minimizing the potential for bias in the future.
Download book chapters
Download datasets (coming soon)
Dataset 1 – Teacher expectancy and student intelligence
Dataset 2 – Passive smoking and lung cancer
Dataset 3 – Employment interview performance and job performance
Step-by-step instructions for using various computer programs to address publication bias (coming soon)
Errata and updates (coming soon)
"Comprehensive meta‐analysis (CMA) is essential software for the meta‐analyst. Complex analyses can be conducted easily using this intuitive software. The support staff are always helpful and respond quickly when questions arise. I highly recommend CMA."
Erika A. Patall - Department of Educational Psychology, The University of Texas at Austin, Austin, TX
Frequently Asked Questions
Comprehensive Meta-Analysis (CMA) is a powerful computer program for meta-analysis. The program combines ease of use with a wide array of computational options and sophisticated graphics.