How Many Subjects?: Statistical Power Analysis in Research

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9781483319544: How Many Subjects?: Statistical Power Analysis in Research
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With increased emphasis on helping readers understand the context in which power calculations are done, this Second Edition of How Many Subjects? by Helena Chmura Kraemer and Christine Blasey introduces a simple technique of statistical power analysis that allows researchers to compute approximate sample sizes and power for a wide range of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can then easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons demonstrate important principles of design, measurement, and analysis that are rarely discussed in courses or textbooks, making this book a valuable instructional resource as well as a must-have guide for frequent reference. 

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About the Author:

Helena Chmura Kraemer is professor emerita of biostatistics in the Department of Psychiatry and Behavioral Sciences at Stanford University. She earned her BA in mathematics from Smith College, attended Manchester University on a Fulbright Scholarship, and received her PhD in statistics from Stanford University. Kraemer’s specific research interests include improvement to randomized clinical trial methodology, assessment of reliability and validity of diagnoses and clinical measurement, and developing mathematical models for specific problems in behavioral and clinical research. She has published extensively in the behavioral as well as statistical literature. Kraemer has received the Harvard Prize in Psychiatric Biostatistics and Epidemiology (2001), the Andrew C. Leon Distinguished Career Award (2014), an Honorary Doctor of Science from Wesleyan University (2014), and is a member of the Institute of Medicine, National Academy of Sciences (2003). In retirement, she continues to serve on several editorial boards, and consult on research projects. 

Review:

"Kraemer and Blasey provide an authoritative and readable introduction into applied statistical power analysis and its application with many common statistical procedures." (Glenn Gamst)

"This is a necessary text for anyone conducting research in the real world. Nowhere else will you find a better answer to the question, ′How Many Subjects?′" (Bryan Rooney)

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Book Description SAGE Publications Inc, United States, 2015. Paperback. Condition: New. 2nd Revised edition. Language: English. Brand new Book. With increased emphasis on helping readers understand the context in which power calculations are done, this Second Edition introduces a simple technique of statistical power analysis that allows researchers to compute approximate sample sizes and power for a wide range of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can then easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons demonstrate important principles of design, measurement, and analysis that are rarely discussed in courses or textbooks, making this book a valuable instructional resource as well as a must-have guide for frequent reference. New to this edition:Power computations are now placed in the proper context as one small but crucial step in applying the scientific method.The number of tests to which the methods can be applied has been extended.The book now incorporates the authors' experience where errors in design and interpretation of statistical hypothesis testing occur.Recent emphasis on effect sizes rather than p-values is endorsed and emphasized throughout.Recent developments in consideration of moderators and mediators are acknowledged. Seller Inventory # AAC9781483319544

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Book Description SAGE Publications Inc, United States, 2015. Paperback. Condition: New. 2nd Revised edition. Language: English. Brand new Book. With increased emphasis on helping readers understand the context in which power calculations are done, this Second Edition introduces a simple technique of statistical power analysis that allows researchers to compute approximate sample sizes and power for a wide range of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can then easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons demonstrate important principles of design, measurement, and analysis that are rarely discussed in courses or textbooks, making this book a valuable instructional resource as well as a must-have guide for frequent reference. New to this edition:Power computations are now placed in the proper context as one small but crucial step in applying the scientific method.The number of tests to which the methods can be applied has been extended.The book now incorporates the authors' experience where errors in design and interpretation of statistical hypothesis testing occur.Recent emphasis on effect sizes rather than p-values is endorsed and emphasized throughout.Recent developments in consideration of moderators and mediators are acknowledged. Seller Inventory # AAC9781483319544

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