Effect Size for Anova Designs
Autor Jose M Cortina, Hossein Nouri, Jos M Cortinaen Limba Engleză Paperback – noi 1999
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Specificații
ISBN-13: 9780761915508
ISBN-10: 0761915508
Pagini: 82
Dimensiuni: 140 x 216 x 5 mm
Greutate: 0.12 kg
Ediția:1
Editura: Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
ISBN-10: 0761915508
Pagini: 82
Dimensiuni: 140 x 216 x 5 mm
Greutate: 0.12 kg
Ediția:1
Editura: Sage Publications, Inc
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
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.