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Camilli, Gregory; de la Torre, Jimmy; Chiu, Chia-Yi – Journal of Educational and Behavioral Statistics, 2010
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…
Descriptors: Markov Processes, Effect Size, Meta Analysis, Monte Carlo Methods
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de la Torre, Jimmy; Camilli, Gregory; Vargas, Sadako; Vernon, R. Fox – Measurement and Evaluation in Counseling and Development, 2007
In this article, the authors present a multilevel (or hierarchical linear) model that illustrates issues in the application of the model to data from meta-analytic studies. In doing so, several issues are discussed that typically arise in the course of a meta-analysis. These include the presence of non-zero between-study variability, how multiple…
Descriptors: Desensitization, Effect Size, Meta Analysis, Models