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Jacob Cohen

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

by Jacob Cohen (Author)

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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.

ISBN-10

0805802835
ISBN-13

978-0805802832
Edition

2nd
Publisher

Routledge
Publication date

July 1, 1988
Language

English
Dimensions

6 x 1.25 x 9 inches
Print length

590 pages
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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

About the Author

Jacob Cohen

Product details

Publisher ‏ : ‎ Routledge; 2nd edition (July 1, 1988)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 590 pages
ISBN-10 ‏ : ‎ 0805802835
ISBN-13 ‏ : ‎ 978-0805802832
Lexile measure ‏ : ‎ 1470L
Item Weight ‏ : ‎ 2.01 pounds
Dimensions ‏ : ‎ 6 x 1.25 x 9 inches

Best Sellers Rank: #803,952 in Books (See Top 100 in Books)
- #553 in Medical Psychology Research
- #1,966 in Probability & Statistics (Books)
- #4,876 in Medical General Psychology

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4.3 out of 5

29 global ratings

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Martin W. Denker

This is the bible for research in the behavioral sciences ...

Reviewed in the United States 🇺🇸 on January 25, 2018

Verified Purchase

This is the bible for research in the behavioral sciences -- THE place to start learning. Superb explanation of effect size - how and why to calculate it and how to deal with unexpected problems with the data. Also, I return to it often as a reference. It does NOT have the latest information on new approaches and methods that have been developed in the last 10 - 15 years. But I go back to it to get oriented when I get stuck in trying to learn a new method (something I read in a journal or something I encounter in software packages). Before I studied this book (first ed., early 1980's) I thought that statistical significance was all that mattered for successful research studies. This opened my eyes to the importance of effect size. NOTE -- this error of omission (reporting significance but not effect size) is still being made in today's journals(!!!), maybe a little less frequently. People in a hurry still look mostly at the mean value of data sets, not the range (or other aspects) of the distribution.

2 people found this helpful

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MB, MD/PhD

Amazing book, anyone doing statistics should buy and read this.

Reviewed in the United States 🇺🇸 on January 6, 2016

Verified Purchase

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!

2 people found this helpful

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Thomas J. Leeper

THE book on power analysis

Reviewed in the United States 🇺🇸 on July 26, 2011

Verified Purchase

Supposedly this is THE book to read on power analysis. The book touches on power calculations very quickly and then provides the relevant statistics in a large set of tables; you could probably just borrow it from the library when needed rather than pay to have it, but a good reference text nonetheless.

2 people found this helpful

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JLW

Very technical.

Reviewed in the United States 🇺🇸 on November 24, 2012

Verified Purchase

I was advised to purchase this text by my research consultant (I am working on a doctoral degree). I am not a "statistics person", so I have found this book to be extremely technical and difficult to understand. I am sure that it is much more useful to those that are career statisticians. However, it has not done much to assist me in preparing for my dissertation study. The sample size tables are nice (which is the main reason that I purchased the book), however, even they are difficult to decipher. I would definitely recommend a different text for understanding statistics (I have liked Rovai, Baker, and Ponton's "Social Science Research Design and Statistics").

4 people found this helpful

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Larry Southard

A seminal work in the field

Reviewed in the United States 🇺🇸 on October 5, 2019

Verified Purchase

The Bible of statistical power and effect sizes.

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Kirt

purchase of this text was a bit of a waste.

Reviewed in the United States 🇺🇸 on August 26, 2014

Verified Purchase

I did find more straight forward means of calculating effect size and sample size at a free stats web site. So, purchase of this text was a bit of a waste.

Reviewed in the United States 🇺🇸 on August 29, 2017

Verified Purchase

Must have book.
I learned a great deal from this read.
Only for comprehensive readers.

Reviewed in the United States 🇺🇸 on May 16, 2015

Verified Purchase

Clearly written comprehensive tome - a must-have for any Stat reference library, particularly for background on effect sizes.

One person found this helpful

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Impec!

Reviewed in France 🇫🇷 on February 20, 2014

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Un ouvrage qui a pris de l'age (beaucoup!!) mais qui reste efficace pour ceux confrontés aux calculs de puissance
Les calculs y sont abordés sous différents aspects (comparaisons de moyennes, de proportion, de tableau de contingence, application a la régression) avec le minimum théorique nécessaire.
Beaucoup de tables obsolètes au regard de l'offre logiciel disponible mais le raisonnement du calcul de puissance est bien décrit

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