Statistical Power Analysis for the Behavioral Sciences (2nd Edition) (Hardcover)

~ (Author) "The power of a statistical test is the probability that it will yield statistically significant results..." (more)
Key Phrases: yield power values, normal curve deviate, normal curve test, Power of Sign Test, Social Restrictiveness (more...)

Editorial Reviews

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

...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

New York University, New York City. Statistical methods.

Product Details

• Hardcover: 567 pages
• Publisher: Lawrence Erlbaum; 2 edition (January 15, 1988)
• Language: English
• ISBN-10: 0805802835
• ISBN-13: 978-0805802832
• Product Dimensions: 9.1 x 6.1 x 1.4 inches
• Shipping Weight: 2 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (5 customer reviews)
• Amazon.com Sales Rank: #114,667 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

30 of 30 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, February 22, 2008

By	Michael R. Chernick "statman31147" (Holland PA) - See all my reviews (REAL NAME)

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.

34 of 35 people found the following review helpful:

5.0 out of 5 stars The Definitive Power Analysis Text, December 2, 1999

By	Adam J. McKee (Monticello, AR USA) - See all my reviews (REAL NAME)

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.

19 of 25 people found the following review helpful:

5.0 out of 5 stars The classic statistical power reference., June 28, 1999

By A Customer

Clearly, a must for every statistical library. This book is considered the authority on power analysis.