Effect Sizes for Research: Univariate and Multivariate Applications, Second Edition
Autor Robert J. Grissom, John J. Kimen Limba Engleză Paperback – 15 noi 2011
With more than 40% new material, highlights of the new editon include:
- three new multivariate chapters covering effect sizes for analysis of covariance, multiple regression/correlation, and multivariate analysis of variance
- more learning tools in each chapter including introductions, summaries, "Tips and Pitfalls" and more conceptual and computational questions
- more coverage of univariate effect sizes, confidence intervals, and effect sizes for repeated measures to reflect their increased use in research
- more software references for calculating effect sizes and their confidence intervals including SPSS, SAS, R, and S-Plus
- the data used in the book are now provided on the web along with new data and suggested calculations with IBM SPSS syntax for computational practice.
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. A prerequisite of introductory statistics through factorial analysis of variance and chi-square is recommended.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 434.93 lei 43-57 zile | |
| Taylor & Francis – 15 noi 2011 | 434.93 lei 43-57 zile | |
| Hardback (1) | 772.84 lei 43-57 zile | |
| Taylor & Francis – 28 noi 2011 | 772.84 lei 43-57 zile |
Preț: 434.93 lei
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Specificații
ISBN-13: 9780415877695
ISBN-10: 0415877695
Pagini: 434
Ilustrații: black & white illustrations, black & white tables
Dimensiuni: 152 x 229 x 28 mm
Greutate: 0.64 kg
Ediția:Revizuită
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 0415877695
Pagini: 434
Ilustrații: black & white illustrations, black & white tables
Dimensiuni: 152 x 229 x 28 mm
Greutate: 0.64 kg
Ediția:Revizuită
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
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Cuprins
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
Recenzii
"This book presents an excellent summary of the debate around the use of null hypothesis significance testing and includes a lot of examples and practical advice to researchers about the software and methods needed to report effect size. Coverage of different models is wide and much of the material will be highly relevant to psychologists working in many fields." - Chris Beeley, Senior Evaluation Manager, Institute of Mental Health, Nottingham, UK, in The Psychologist
"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. 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
"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. 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
Descriere
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.
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.