Ebook Statistical Power Analysis for the Behavioral Sciences, by Jacob Willem Cohen
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Statistical Power Analysis for the Behavioral Sciences, by Jacob Willem Cohen
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Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes:
* a chapter covering power analysis in set correlation and multivariate methods;
* a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;
* expanded power and sample size tables for multiple regression/correlation.
- Sales Rank: #1697432 in Books
- Published on: 1977-05-09
- Original language: English
- Number of items: 1
- Binding: Hardcover
- 487 pages
Review
"...provides a very convenient source for formulas and tables to compute power in some common analyses....the excellent writing allows lending the book and being comfortable in expecting the scientist to use the book for power calculations with little assistance."
―Technometrics
"This is the second edition of work that has become a minor classic. It ranks as a required reference for research grant applications in the social sciences....It provides a much-needed reference for those not as numerically proficient as many JASA readers....overall the book is clearly written."
―Journal of the American Statistical Association
"...provides readers who apply statistical analyses to their data with descriptions of the rationale for each of several procedures as well as the steps in computation separately and does so in a clearly written style."
―Perceptual and Motor Skills
Most helpful customer reviews
1 of 1 people found the following review helpful.
Amazing book, anyone doing statistics should buy and read this.
By MB, MD/PhD
This is an amazing book that is not appreciated enough. Finally broke down and actually spent the money to buy it because it is so valuable. Every student, professor or researcher doing any sort of research that uses statistics. Absolutely critical to understanding and interpreting modern statistics. I was able to read through this book and understand what Cohen was talking about after an undergraduate statistics course. Really simple to understand and really able to see the implications of the effect size. Also, you realize that the p-value is a really meaningless score! Best of luck to all!
1 of 1 people found the following review helpful.
Like 4 point equations?
By Diogenes
The equations in the Kindle version of this book are so small (4 point type???) as to make reading the book all but hopeless. I own the classic hardback version, which--of course--does not suffer from this all-too-common problem with equations on Kindles in my experience.
0 of 0 people found the following review helpful.
stellar Stat text
By Marc Hayes
Clearly written comprehensive tome - a must-have for any Stat reference library, particularly for background on effect sizes.
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