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Effect Sizes for Research


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Table of Contents

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

About the Author

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.


"This book is the single-best, definitive treatment of effect sizes, and is best characterized by the following adjectives: comprehensive, contemporary, clear, concrete, accessible, practical, and well-organized." - Bruce Thompson, Texas A&M University and Baylor College of Medicine, USA "This is THE essential guide to effect sizes and confidence intervals: authoritative yet accessible, detailed yet entirely practical.a It needs to be close to the elbow of every serious researcher and graduate student." - Geoff Cumming, La Trobe University, Melbourne, Australia "Effect sizes and associated confidence intervals are increasingly recognized as a more informative basis for inferences than p-values. This helpful book introduces a wide array of tools to enable researchers to fulfill this agenda." - Robert G. Newcombe, Cardiff University, UK "This book provides accessible, comprehensive coverage of effect sizes and their interpretation. I have used the first edition as a required text for a course on interpretation of data and plan to continue to use it. Researchers, both novice and experienced, will also find the book to be a valuable reference." - Patricia A. Shewokis, Drexel University, USA "A thousand copies of this book should be dropped from a low flying airplane over ... the 4,200 college and univeristy campuses in America. ... No ... quantitative professor, researcher, or student should be without this text. ... The writing style is clear ... and a pleasure to read. This book should be required reading for all graduate faculty, students, and workers in the field." - Shlomo Sawilowsky, Wayne State University, USA "It is important for graduate students to understand effect size in multivariate statistics. ... The book presents a good theoretical background on the effect sizes for various statistical procedures and it is ... way ahead of other books. ...The authors write well... It [is] an excellent text on effect sizes. ... I would ... use the book in my course." - Aman Yadav, Purdue University, USA

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