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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 )Product Description
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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First Sentence
"How large a sample size must I have?" Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
"How large a sample size must I have?" Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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