Effect Sizes for Research: Univariate and Multivariate Applications

Effect Sizes for Research: A Broad Practical Approach is intended as a supplement for graduate courses in statistics in the fields of psychology, education, the social sciences, business, management, and medicine. It is also a valuable source for professional researchers, graduate students who are analyzing data for a master's or doctoral thesis, or advanced undergraduates.

Table of Contents:
Preface. Introduction. Confidence Intervals for Comparing the Averages of Two Groups. The Standardized Difference Between Means. Correlational Effect Sizes for Comparing Two Groups. Effect Size Measures That Go Beyond Comparing Two Centers. Effect Sizes for One-Way ANOVA Designs. Effect Sizes for Factorial Designs. Effect Sizes for Categorical Variables.Effect Sizes for Ordinal Categorical Variables.

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.

Review :
"...the book is a study in absolute clarity. Overall, Grissom and Kim have presented a tour de force treatment of effect sizes that is accurately described in their subtitle as being both broad and practical." - Applied Psychological Measurement "No other current book provides the broad overview of effect size measures contained in this book....I am especially impressed by the authors knowledge of the latest developments in the literature....The level is appropriate for a broad range of readers....I would use it regularly to advise colleagues and students how to calculate and interpret various effect size measures. The publication of this book might stimulate us to offer a separate course on effect size measures." - Scott E. Maxwell, Ph.D., University of Notre Dame "I strongly recommend this book for anyone who wishes to conduct research based on reason and not luck....The quality of the scholarship is excellent....The level is appropriate for an upper class undergraduate through doctoral reading audience....it would be valuable throughout the social and behavioral sciences, medicine, nursing, etc....I would use this [book] as supplemental reading for all six stat courses I teach." - Shlomo S. Sawilowsky, Ph.D., Wayne State University "The coverage and depth of this book is exceptional. I learned several new things just by reviewing a handful of chapters....The examples are...excellent in terms of their context and applicability....I can easily see this book used as a supplement in...[a variety of] courses...a valuable reference for researchers, practitioners, and graduate students." - Allen Huffcutt, Ph.D., Bradley University