Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)

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About Understanding The New Statistics: Effect

Product Description This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed. Review "This book is so skilfully written and suitably illustrated with graphical displays and statistical formulae that, even individuals with only a basic knowledge of statistics, should be able to follow the author's message. ... [It is] well designed as an introductory text to confidence intervals, effect sizes and meta-analyses for use by teachers and students of statistics. ... I would recommend this book to anyone interested in developing a better understanding and appreciation of these estimation techniques." - Patricia Wheaton, University of Adelaide, Australia, in the Australasian Physical & Engineering Sciences in Medicine "[Understanding The New Statistics] provides a clear description of the difficulties people have in interpreting p- values, as well as an accessible description of how to combine evidence from multiple studies using meta-analysis. It will be valuable to researchers in the behavioural and social sciences, who wish to move beyond the superficial level in the statistical interpretation of their results." - David J. Hand, Imperial College, London, UK, in International Statistical Review "The exceptional value of this book is in the jargon-free and accessible way in which Cumming defines significance testing and its pitfalls and introduces the new statistics. ... The overall achievement of [Understanding The New Statistics] is the convincing argument for why the new techniques should be preferred over traditional methods. A valuable contribution ― even the most novice of re