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Preface. About this Book 1. Introduction to The New Statistics 2. From Null Hypothesis Significance Testing to Effect Sizes 3. Confidence Intervals 4. Confidence Intervals, Error Bars, and p Values 5. Replication 6. Two Simple Designs 7. Meta-Analysis 1: Introduction and Forest Plots 8. Meta-Analysis 2: Models 9. Meta-Analysis 3: Large-Scale Analyses 10. The Noncentral t Distribution 11. Cohen's d 12. Power 13. Precision for Planning 14. Correlations, Proportions, and Further Effect Size Measures 15. More Complex Designs and The New Statistics in Practice. Glossary. Appendixes A. Loading and Using ESCI. B. ESCI for the Normal and t Distributions, and Values of z and t. C. Guide to the ESCI Modules and Pages
Geoff Cumming is an EmeritusaProfessor in the School of Psychological Science at La Trobe University in Melbourne,aAustralia. aHe has taught statistics for more than 40 years at every level from introductory to advanced, and at undergraduate and graduate levels.aHe has published numerous journal articles about teaching statistics. aHis research focuses on statistical cognition--the study of how students and researchers understand statistical concepts and how they interpret differentaways to present results. aHe has also studied how statistical reform has been advocated and thwarted. aHe is frequently invited to give his highly successful workshop on the new statistics using his ESCI software at the American Psychological Association's Annual Convention.a A Rhodes Scholar, heareceived his Doctorate degree in experimental psychology from Oxford University.
"In this book Cumming does exactly what's needed -- he clearly explains significance-testing and confidence-interval techniques, and in the process leaves no doubt as to which should be preferred. I hope that this book will be read by anyone who plans to do research of any kind." - Geoffrey Loftus, University of Washington, Seattle, USA "It is about time that the "new statistics" get the place they deserve in statistics education, to further true understanding instead of following statistical rituals. Geoff Cumming's excellent book is a milestone towards reaching that goal." - Peter Sedlmeier, Chemnitz University of Technology, Germany "Geoff Cumming is a preeminent author in statistics reform and his new book is an important work in this area. Written in a clear, accessible way, Cumming covers essential topics in data analysis, including effect size estimation, confidence intervals, and meta-analysis. Readers in the social and behavioral science will learn new ways to look at their own results and avoid common traps of traditional significance testing." - Rex Kline, Concordia University, Canada "Cumming makes strong arguments for confidence intervals and meta-analysis as better ways of representing and thinking about research. His graphical, interactive approach makes the "new statistics" highly accessible and remarkably impactful on our statistical understanding." - Robin K. Henson, University of North Texas, USA "Cumming will be the 'breakthrough' text that finally shows how to analyze and interpret data for many common statistical designs without having to rely on significance testing. !The material ! [is] easy even for undergraduates !a an unusual characteristic for a statistics text." - Joseph Rossi, University of Rhode Island, USA "Currently, a paradigm shift from the flawed null hypothesis testing model to an effect size and confidence interval approach is taking place. Unfortunately, students taking lower level courses have not been exposed. This book repairs that omission. A very timely and important book!" - Wayne F. Velicer, University of Rhode Island, USA "This is as clear a presentation of new approaches for evaluating hypotheses and presenting statistical evidence as one could want. Cumming brings researchers into the new age of statistical discourse." - Patrick E. Shrout, New York University, USA "The writing style is breezy and informal. ! It is a unique book ! and it meets an important need. The quality of scholarship is excellent; the author is probably the top world expert on this subject. !The [accompanying] software ! allows people to 'run their own studies' and see ! just how unstable research findings are across studies when sample size are in the typical small range." -- Frank Schmidt, University of Iowa, USA "I would recommend the Cumming book to students who want to be on the 'cutting edge' of how to write-up statistics. ... Strengths include the author's passion and long history of research into the most effective methods of teaching statistics. ... The quality of the scholarship is excellent. ... I would definitely purchase the book ! and recommend it to colleagues." - Alan Reifman, Texas Tech University, USA "There is a real need for a statistics book that makes the 'new statistics' understandable and can be used as a teaching framework for undergraduates, or graduate students." - Dennis Doverspike, University of Akron, USA "[This book will pave] the way for others to demonstrate further the potency of effect sizes and confidence intervals for both univariate and multivariate inferential procedures." - Lisa Harlow, University of Rhode Island, USA