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ERIC Number: EJ1109056
Record Type: Journal
Publication Date: 2015-Mar
Pages: 11
Abstractor: As Provided
ISSN: ISSN-1759-2879
The Use of Meta-Analytic Statistical Significance Testing
Polanin, Joshua R.; Pigott, Terri D.
Research Synthesis Methods, v6 n1 p63-73 Mar 2015
Meta-analysis multiplicity, the concept of conducting multiple tests of statistical significance within one review, is an underdeveloped literature. We address this issue by considering how Type I errors can impact meta-analytic results, suggest how statistical power may be affected through the use of multiplicity corrections, and propose how meta-analysts should analyze multiple tests of statistical significance. The context for this study is a meta-review of meta-analyses published in two leading review journals in education and psychology. Our review of 130 meta-analyses revealed a strong reliance on statistical significance testing without consideration of Type I errors or the use of multiplicity corrections. In order to provide valid conclusions, meta-analysts must consider these issues prior to conducting the review.
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Publication Type: Journal Articles; Information Analyses; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A