Researchers have been complaining about the lack of one single place to find information on computing effect sizes in analysis of variance (ANOVA), until now. Authors Jose M. Cortina and Hossein Nouri begin with a literature review of previous treatments of the topic (including corrections to the misleading treatments of repeated measures and ANCOVA (analysis of covariance) designs). They introduce the effect sizes, by defining the term and explaining how it is computed from summary and test statistics for the simple two independent group design. They next provide a description of methods for computing effect sizes from the results of one-way designs with more than two groups, and then extend these methods to cases in which the effects of interest are embedded within the context of two and three-way ANOVA′s. They conclude the book with an explanation of the methods for computing effect size from the results of ANCOVA designs followed by the methods for computing effect sizes from the results of repeated measures. Throughout the book, the authors offer examples with worked-out computations to illustrate each technique. Researchers who need to estimate their effect size of run a meta-analysis will find this book very useful.
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Jose M. Cortina is a Professor in the I/O Psychology program at George Mason University. Professor Cortina received his Ph.D. in 1994 from Michigan State University. His recent research has involved topics in meta-analysis, structural equation modeling, and significance testing, as well as predictors and outcomes of emotions in the workplace. His work has been published in journals such as the Journal of Applied Psychology, Personnel Psychology, Psychological Bulletin, Organizational Research Methods, and Psychological Methods. He currently serves as Editor of Organizational Research Methods and is a former Associate Editor of the Journal of Applied Psychology. Dr. Cortina was honored by SIOP with the 2001 Ernest J. McCormick Award for Distinguished Early Career Contributions and by the Research Methods Division of the Academy of Management with the 2004 Robert O. McDonald Best Paper Award. He was also honored by George Mason University with a 2010 Teaching Excellence Award and by SIOP with the 2011 Distinguished Teaching Award.
Research Interests:
* Behavioral Accounting
* Meta Analysis
* Pedagogical Research
This guide lays out the computational methods for `d' with a variety of designs including factorial ANOVA, ANCOVA and repeated measures ANOVA; `d' divides the observed effect by the standard deviation of the dependent variable. Throughout, the computations are illustrated on the same data, a comprehensive set of simulated observations on air traffic controllers. The authors also raise important theoretical issues including a discussion of `off-factors' in arriving at effect size as well as questions of research practice.
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