How Many Subjects?: Statistical Power Analysis in Research

by Christine M. Blasey, Helena Chmura Kraemer, Christine M. Blasey

Book Overview

′This book fills a large gap in the applied statistics literature and, at the same time, provides empirical researchers with the means to quickly determine a valuable piece of information, namely: what sample size is needed for a particular study. If this book only presented the reader with a straightforward set of procedures for determining N for any particular research design, it would have fulfilled its mission successfully. But the book...

• Format: Hardcover
• Language: English
• ISBN: 0803929498
• ISBN13: 9780803929494
• Release Date: September 1987
• Publisher: Sage Publications, Inc
• Length: 120 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.6" x 5.0" x 8.0"

Customer Reviews

significance and power

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.

simple well-written book about sample size determination

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.