Incorporating Quality Scores in Meta-Analysis

Autor/inn/en	Ahn, Soyeon; Becker, Betsy Jane
Titel	Incorporating Quality Scores in Meta-Analysis
Quelle	In: Journal of Educational and Behavioral Statistics, 36 (2011) 5, S.555-585 (31 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998610393968
Schlagwörter	Meta Analysis; Scores; Effect Size; Statistical Bias; Error of Measurement; Computation + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Messfehler
Abstract	This paper examines the impact of quality-score weights in meta-analysis. A simulation examines the roles of study characteristics such as population effect size (ES) and its variance on the bias and mean square errors (MSEs) of the estimators for several patterns of relationship between quality and ES, and for specific patterns of systematic deviations related to quality differences. The bias and MSEs of the estimators are large when ESs from low-quality studies deviate from the population ES in specific ways, and bias does not approach zero in these cases. Because meta-analysts can never know whether biases due to quality exist, and because quality weights lead to bias in almost every condition studied, we recommend against the use of quality weights. (Contains 2 figures, 5 tables, and 1 note.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10