A Noncentral "t" Regression Model for Meta-Analysis

Autor/inn/en	Camilli, Gregory; de la Torre, Jimmy; Chiu, Chia-Yi
Titel	A Noncentral "t" Regression Model for Meta-Analysis
Quelle	In: Journal of Educational and Behavioral Statistics, 35 (2010) 2, S.125-153 (29 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998609346966
Schlagwörter	Markov Processes; Effect Size; Meta Analysis; Monte Carlo Methods; Models; Regression (Statistics); Psychotherapy; Outcomes of Treatment + Suchen Sie Ihr Suchwort? Markowscher Prozess; Meta-analysis; Metaanalyse; Monte-Carlo-Methode; Analogiemodell; Regression; Regressionsanalyse; Psychotherapie
Abstract	In this article, three multilevel models for meta-analysis are examined. Hedges and Olkin suggested that effect sizes follow a noncentral "t" distribution and proposed several approximate methods. Raudenbush and Bryk further refined this model; however, this procedure is based on a normal approximation. In the current research literature, this approximate procedure has not been compared to one based directly on the noncentral "t" distribution, which is the approach taken in this article. A multilevel model is presented, and estimation is carried out on a real data set using the Markov chain Monte Carlo (MCMC) procedure. A simulation study is then conducted to examine the properties of the noncentral t approach in more depth. Finally, an example of code written in WinBUGS is given, which may be useful to researchers across a broad range of disciplines. (Contains 7 tables and 2 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10