Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression

Autor/inn/en	Tipton, Elizabeth; Pustejovsky, James E.
Titel	Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression
Quelle	In: Journal of Educational and Behavioral Statistics, 40 (2015) 6, S.604-634 (31 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998615606099
Schlagwörter	Meta Analysis; Effect Size; Computation; Robustness (Statistics); Sample Size; Statistical Analysis; Simulation; Error Correction; Multivariate Analysis; Multiple Regression Analysis + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Widerstandsfähigkeit; Statistische Analyse; Simulation program; Simulationsprogramm; Korrektur; Multivariate Analyse
Abstract	Meta-analyses often include studies that report multiple effect sizes based on a common pool of subjects or that report effect sizes from several samples that were treated with very similar research protocols. The inclusion of such studies introduces dependence among the effect size estimates. When the number of studies is large, robust variance estimation (RVE) provides a method for pooling dependent effects, even when information on the exact dependence structure is not available. When the number of studies is small or moderate, however, test statistics and confidence intervals based on RVE can have inflated Type I error. This article describes and investigates several small-sample adjustments to F-statistics based on RVE. Simulation results demonstrate that one such test, which approximates the test statistic using Hotelling's T[superscript 2] distribution, is level-a and uniformly more powerful than the others. An empirical application demonstrates how results based on this test compare to the large-sample F-test. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01