How Many Subjects? is a practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons, emphasized throughout the book, demonstrate important principles of design, measurement and analysis that are rarely discussed in courses or textbooks.
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"Until now no broad framework has existed to treat power in a unified fashion across hypothesis testing techniques. . . . An excellent contribution to the literature. . . . A valuable reference book. . . . A nice addition to the statistical literature. How Many Subjects? Should be at the disposal of teachers and students of statistics."
(Applied Psychological Measurement )
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30 of 30 people found the following review helpful:
5.0 out of 5 stars
simple well-written book about sample size determination,
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This review is from: How Many Subjects?: Statistical Power Analysis in Research (Hardcover)
Helen Kraemer is a Stanford Professor with a subspecialty in statistics. She wrote this delightful book with the simple title "How many subjects." Along with Jacob Cohen's book this was one of the first statistical textbooks devoted to the determination of power and sample size in hypothesis testing situations. It is a great reference book on the topic. With the appearance of statistical software to handle the problems addressed in these books and more, the book now serve the purpose of providing a deeper understanding of the issues and an aid to help the user understand what the parameters (e.g. effect size, subject to subject variance) mean.
3 of 3 people found the following review helpful:
5.0 out of 5 stars
significance and power,
By hypergeometric "hypergeometric" (Westwood, MA USA) - See all my reviews
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This review is from: How Many Subjects?: Statistical Power Analysis in Research (Hardcover)
Whatever your statistical background, the approach of this book to the question of statistical power is highly illuminating. For instance, I am a poor statistician, primarily an engineer with a mathematical bent. I happen to fall into experimental and, thus, statistical contexts frequently. Nevertheless, this book elucidated the issues surrounding the somewhat ritualistic "receiver operating characteristics" tradeoffs routine of detectability versus false alarm rate more than any text in my experience. It showed how costs of failures factored into the decision threshold, rather than making some routine mimickry of a classroom derivation.
So even if statistical power isn't a routine place to visit, this book is worthwhile. I'd say, however, that matters of statistical power ought to be considered more than they are, even if they aren't a natural fit for Bayesian formulations, which seem currently to be in vogue.
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Inside This Book
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First Sentence:
"How large a sample size must I have?" Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
critical effect size, necessary sample size, binomial test, coffee consumption, power calculations Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
"How large a sample size must I have?" Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
critical effect size, necessary sample size, binomial test, coffee consumption, power calculations Key Phrases - Capitalized Phrases (CAPs): (learn more)
Master Table, Cornell Medical Index New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 3
books:
3
books
cite this book:
- How Many? (Photo Board Books) by Moira Butterfield in Back Matter
- Biometrika Tables for Statisticians by E. S. Pearson in Back Matter
- Statistical Power Analysis for the Behavioral Sciences (2nd Edition) by Jacob Cohen in Back Matter
- Using Surveys to Value Public Goods: The Contingent Valuation Method (Resources for the Future) by Robert Cameron Mitchell in Back Matter
- Being Bright Is Not Enough: The Unwritten Rules of Doctoral Study by Peggy Hawley on page 107
- Artificial Reef Evaluation: With Application to Natural Marine Habitats (Marine Science) by William Seaman Jr. on page 49
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