- Hardcover: 590 pages
- Publisher: Routledge Academic; 2 edition (July 1 1988)
- Language: English
- ISBN-10: 0805802835
- ISBN-13: 978-0805802832
- Product Dimensions: 2.4 x 1.6 x 0.4 cm
- Shipping Weight: 907 g
- Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
- Amazon Bestsellers Rank: #226,121 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Details |
Product Description
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
Product Description
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.
* 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.
Inside This Book
(Learn More)
First Sentence
The power of a statistical test is the probability that it will yield statistically significant results. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
The power of a statistical test is the probability that it will yield statistically significant results. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
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Most helpful customer reviews
5.0 out of 5 stars
The Definitive Power Analysis Text,
By
This review is from: Statistical Power Analysis for the Behavioral Sciences (Hardcover)
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.
5.0 out of 5 stars
The classic statistical power reference.,
By A Customer
This review is from: Statistical Power Analysis for the Behavioral Sciences (Hardcover)
Clearly, a must for every statistical library. This book is considered the authority on power analysis.
Share your thoughts with other customers: Create your own review
Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
4.9 out of 5 stars (7 customer reviews) 35 of 36 people found the following review helpful
5.0 out of 5 stars
The Definitive Power Analysis Text,
By Adam J. McKee - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Statistical Power Analysis for the Behavioral Sciences (Hardcover)
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.
33 of 34 people found the following review helpful
5.0 out of 5 stars
excellent early book on sample size determination, prepared with researchers from the behavioral sciences in mind,
By Michael R. Chernick "statman31147" - Published on Amazon.com
This review is from: Statistical Power Analysis for the Behavioral Sciences (Hardcover)
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. 20 of 26 people found the following review helpful
5.0 out of 5 stars
The classic statistical power reference.,
By A Customer - Published on Amazon.com
This review is from: Statistical Power Analysis for the Behavioral Sciences (Hardcover)
Clearly, a must for every statistical library. This book is considered the authority on power analysis.
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