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Effect Size for ANOVA Designs: Quantitative Applications in the Social Sciences, cartea 129

Autor José M. Cortina (2011-2013), Hossein Nouri
en Limba Engleză Paperback – 19 dec 1999
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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Specificații

ISBN-13: 9780761915508
ISBN-10: 0761915508
Pagini: 80
Dimensiuni: 140 x 216 x 5 mm
Greutate: 0.1 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

Introduction
The Two Independent Group Design
A Review
Oneway Independent Group Design
Factorial Independent Group Designs
ANCOVA Designs
Repeated Measures Designs
Monograph Summary and Discussion of Ancillary Issues

Notă biografică

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.

Descriere

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-factor" in arriving at effect size as well as questions of research practice.