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Abstract
Clustering effect and non-zero intraclass correlation produce the variability that can be observed in meta-analytic data. Statistical modeling is shown to provide a flexible approach to capturing and describing this empirical variability. The most common multilevel approach to analyzing data from meta-analysis is illustrated in this article with a set of 177 studies of behavioral therapies.
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Notes on contributors
Jimmy De La Torre
Jimmy de la Torre. Gregory Camilli, and Sadako Vargas, Graduate School of Education. Educational Psychology, Rutgers, The State University of New Jersey;
Gregory Camilli
Jimmy de la Torre. Gregory Camilli, and Sadako Vargas, Graduate School of Education. Educational Psychology, Rutgers, The State University of New Jersey;
Sadako Vargas
Jimmy de la Torre. Gregory Camilli, and Sadako Vargas, Graduate School of Education. Educational Psychology, Rutgers, The State University of New Jersey;
R. Fox Vernon
R. Fox Vernon, Harold Abel School of Psychology’, Capella University. Correspondence concerning this article should be addressed to Jimmy de la Torre, GSE Educational Psychology, Rutgers, The State University of New Jersey. 10 Seminary Place, New Brunswick. NJ 08901 (e-mail: [email protected]).