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Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research by Art Dowdy; Donald A. Hantula; Jason C. Travers; Matt Tincani is a Psychology article available to read on EtoBox.

What is Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research about?

Publication bias is an issue of great concern across a range of scientific fields. Although less documented in the behavior science fields, there is a need to explore viable methods for evaluating publication bias, in particular for studies based on single-case experimental design logic. Although publication bias is often detected by examining differences between meta-analytic effect sizes for published and grey studies, difficulties identifying the extent of grey studies within a particular research corpus present several challenges. We describe in this article several meta-analytic techniques for examining publication bias when published and grey literature are available as well as alternative meta-analytic techniques when grey literature is inaccessible. Although the majority of these methods have primarily been applied to meta-analyses of group design studies, our aim is to provide preliminary guidance for behavior scientists who might use or adapt these techniques for evaluating publication bias. We provide sample data sets and R scripts to follow along with the statistical analysis in hope that an increased understanding of publication bias and respective techniques will help

Who reads Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research?

Author

Art Dowdy; Donald A. Hantula; Jason C. Travers; Matt Tincani

Publisher

Springer Science and Business Media LLC

Published

2021

Language

EN

Field

Psychology (Social Sciences)