Literaturnachweis - Detailanzeige
Autor/inn/en | Vembye, Mikkel Helding; Pustejovsky, James Eric; Pigott, Therese Deocampo |
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Titel | Power Approximations for Overall Average Effects in Meta-Analysis with Dependent Effect Sizes |
Quelle | In: Journal of Educational and Behavioral Statistics, 48 (2023) 1, S.70-102 (33 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Vembye, Mikkel Helding) ORCID (Pustejovsky, James Eric) ORCID (Pigott, Therese Deocampo) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1076-9986 |
DOI | 10.3102/10769986221127379 |
Schlagwörter | Meta Analysis; Robustness (Statistics); Statistical Analysis; Models; Effect Size; Hypothesis Testing; Monte Carlo Methods; Research Methodology |
Abstract | Meta-analytic models for dependent effect sizes have grown increasingly sophisticated over the last few decades, which has created challenges for a priori power calculations. We introduce power approximations for tests of average effect sizes based upon several common approaches for handling dependent effect sizes. In a Monte Carlo simulation, we show that the new power formulas can accurately approximate the true power of meta-analytic models for dependent effect sizes. Lastly, we investigate the Type I error rate and power for several common models, finding that tests using robust variance estimation provide better Type I error calibration than tests with model-based variance estimation. We consider implications for practice with respect to selecting a working model and an inferential approach. (As Provided). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |