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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: #120767 in Books
- Brand: Routledge
- Published on: 1988-07-01
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.30" w x 6.40" l, 2.04 pounds
- Binding: Hardcover
- 400 pages
- Used Book in Good Condition
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
36 of 39 people found the following review helpful.
excellent early book on sample size determination, prepared with researchers from the behavioral sciences in mind
By Michael R. Chernick
In the design of clinical trials particularly in the regulatory environment of the FDA the determination of the appropriate number of subjects to recruit for a well-powered statistical hypothesis test ot tests is extremely important. This topic is often neglected in statistical texts, even the elementary ones. It has also been neglected in many of the statistical software products that are available. Recognizing this need Janet Elashoff and Ralph o'Brien were among the first to construct tools for sample size determination and calculation of statistical power. There are now many software products available including nQuery Advisor (Janet Elashoff's product), Power and Precision, PASS, and StatXact. For group sequential and adaptive design methods thare are products such as East, PEST, SeqTrial+ and ADDPLAN to mention a few. Ralph O'Brien's package has now been modified and implimented in SAS with the procedures PROC Power and PROC Glmpower.
This book by Jacob Cohen preceded these developments and became a classic reference for researchers particularly those in the social sciences including behavioral scientists as mentioned in the title. I know of only one other competing book from that time period that being "How Many Subjects" by Helen Kraemer of Stanford University.
36 of 37 people found the following review helpful.
The Definitive Power Analysis Text
By Adam J. McKee
Cohen does a masterful job of taking the guesswork out of statistical power estimation. This text provides procedural guidelines for determining power for many designs, and can be quite helpful in determining proper sample sizes. Not for the casual reader, but a necessary addition to any serious researchers statistical library.
4 of 4 people found the following review helpful.
Power analysis
By T. Wilson
Classic stats book for the scientific grant writer. Excellent info and tables concerning power analyses for experimental effects. If you don't include a power analysis in your proposal, you're wasting your time...
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