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Download Effect Size for ANOVA Designs (Quantitative Applications in the Social Sciences) fb2, epub

by José M. Cortina (2011-2013),Hossein Nouri

Download Effect Size for ANOVA Designs (Quantitative Applications in the Social Sciences) fb2, epub

ISBN: 0761915508
Author: José M. Cortina (2011-2013),Hossein Nouri
Language: English
Publisher: SAGE Publications, Inc; 1 edition (November 10, 1999)
Pages: 80
Category: Mathematics
Subcategory: Science
Rating: 4.6
Votes: 336
Size Fb2: 1819 kb
Size ePub: 1929 kb
Size Djvu: 1401 kb
Other formats: mbr mobi lit docx


Jose M. Cortina is a Professor in the I/O Psychology program at George Mason University. Professor Cortina received his P. in 1994 from Michigan State University.

Jose M.

José M. Cortina (2011-2013), Hossein Nouri. 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.

Quantitative Applications in the Social Sciences. JH Riskind, NL Williams, TL Gessner, LD Chrosniak, JM Cortina. Journal of Personality and Social Psychology 79 (5), 837, 2000. SAGE University paper, 2000. The Big Five personality factors in the IPI and MMPI: Predictors of police performance. JM Cortina, ML Doherty, G KAUFMAN, RG SMITH. Personnel Psychology 45 (1), 119-140, 1992.

Davison, M. & Sharma, A. R. (1994)

ANOVA is a statistical method that stands for analysis of variance. ANOVA was developed by Ronald Fisher in 1918 and is the extension of the t and thez test. Before the use of ANOVA, the t-test and z-test were commonly used. But the problem with the T-test is that it cannot be applied for more than two groups. Davison, M. (1994). ANOVA and ANCOVA of pre- and post-test, ordinal data.

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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.

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