Robert J Grissom, John J Kim

Effect Sizes for Research

Univariate and Multivariate Applications

• Broschiertes Buch

Produktbeschreibung

Noted for its comprehensive coverage and practical approach, this new edition - which features 40% new material - covers the use of univariate and multivariate effect sizes. Many measures and estimators are reviewed along with their application, interpretation, and limitations. The book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data. Tips on the use of SPSS, SAS, R, and S-Plus are provided. Intended as a resource for professionals, researchers, and advanced students in a variety of fields, this book is also an excellent supplement for advanced statistics courses in psychology, education, the social sciences, business, and medicine.

Produktdetails

• Verlag: Taylor & Francis
• 2nd edition
• Seitenzahl: 434
• Erscheinungstermin: 15. November 2011
• Englisch
• Abmessung: 228mm x 151mm x 30mm
• Gewicht: 616g
• ISBN-13: 9780415877695
• ISBN-10: 0415877695
• Artikelnr.: 33257858

Autorenporträt

Robert J. Grissom is a Professor Emeritus and Adjunct Professor of Psychology at San Francisco State University and a Consultant in Statistics. He received his Ph.D. in Psychology from Princeton University. Co-founder of the Graduate Program in Psychological Research at San Francisco State, Dr. Grissom has written numerous chapters and articles on effect size methodology. John J. Kim is a Professor of Psychology at San Francisco State University. He received his Ph.D. from the Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology in 1993. The current Associate Vice President for Academic Resources at San Francisco State, Dr. Kim has written numerous chapters and articles on effect size methodology.

Inhaltsangabe

1. Introduction 2. Confidence Intervals for Comparing the Averages of Two
Groups 3. The Standardized Difference Between Means 4. Correlational Effect
Sizes and Related Topics 5. Parametric and Nonparametric Effect Size
Measures that Go Beyond Comparing Two Averages 6. Effect Sizes for One-Way
ANOVA and Nonparametric Approaches 7. Effect Sizes for Factorial Designs 8.
Effect Sizes for Categorical Variables 9. Effect Sizes for Ordinal
Categorical Dependent Variables (Rating Scales) 10. Effect Sizes for
Multiple Regression/Correlation 11. Effect Sizes for Analysis of Covariance
12. Effect Sizes for Multivariate Analysis of Variance