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

Customer Reviews:

Best overview of effect size and confidence intervals you could find

By David Erceg-Hurn - December 1, 2011

This is the best text about effect size and confidence intervals that I have come across. Cumming writes in a very engaging, conversational style. He does an excellent job of clearly illustrating what interval estimation involves, why it is important, how to compute effect sizes and confidence intervals, and how to interpret them. The book is second to none when it comes to giving readers a very good conceptual understanding of WHAT confidence intervals are, unlike most articles and books on confidence intervals which just teach people how to use formulas without providing a good grounding in where the formulas come from. Cumming makes frequent use of pictures to illustrate key concepts, and also encourages you at certain times to stop and use his `ESCI' software that comes with the book. The software is Excel based and very easy to use and I found completing the ESCI exercises alongside reading the chapters substantially enhanced my understanding of confidence intervals. The... read more

Excellent

By Dimitri Shvorob - April 15, 2012

This is how an Apple aficionado must feel about his shiny new iPad. Looking for any nit-picks to restrain my enthusiasm, I could perhaps question the title - a reader wondering about "new statistics" will discover that it is "old statistics", only correctly applied and interpreted - but the author builds a convincing case for his designation, documenting pervasive not-quite-understanding of fundamental frequentist statistical concepts by applied researchers, and effectively advocates more robust and informative ways of analysis and presentation of statistical evidence. At the book's core is a look at the logic, and the shortcomings, of the null-hypothesis significance testing (NHST) and concepts of statistical significance and power, confidence intervals, p-values, etc., with almost all of the action unfolding in the sandbox of testing a simple hypothesis about a population mean. The book should be required reading for any statistician, especially a teaching one, and if it does reach... read more

Important for psychology researchers

By Neil R. Thomason - February 14, 2012

The new edition of the APA's Publication Manual substantially changed the statistics that social scientists must report. Effect sizes, confidence intervals, and meta-analyses are now central; p-values are de-emphasized. This long-overdue reform means that many social scientists and their students will need to learn new ways to understand experimental results.

Cumming's "Understanding the New Statistics -- Effect Sizes, Confidence Intervals, and Meta-Analysis" gives those scientists and their students what they need. Remarkably clearly written, it shows not only how to calculate the new statistics but what they mean and why they matter. It is an excellent, easily-accessible introduction to otherwise intimidating material. The accompanying software is first-rate, and works on both the Windows and Mac versions of Excel.

For one of the reasons the APA has reformed its statistics standards, see Cumming's You Tube video:[...] . It vividly shows why the p-value... read more

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