The Use of Meta-Analytic Statistical Significance Testing
In: Research Synthesis Methods, Jg. 6 (2015-03-01), Heft 1, S. 63-73
Online
academicJournal
Zugriff:
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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The Use of Meta-Analytic Statistical Significance Testing
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Autor/in / Beteiligte Person: | Polanin, Joshua R. ; Pigott, Terri D. |
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Zeitschrift: | Research Synthesis Methods, Jg. 6 (2015-03-01), Heft 1, S. 63-73 |
Veröffentlichung: | 2015 |
Medientyp: | academicJournal |
ISSN: | 1759-2879 (print) |
DOI: | 10.1002/jrsm.1124 |
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