Kraemer and Blasey present students, academics, and researchers with the second edition of their investigation of techniques in statistical power analysis, providing researchers with an effective tool to plan their studies. The authors have organized the main body of their text in ten chapters devoted to general concepts, intraclass correlation, equality of means, correlation of coefficients, and a wide variety of other related subjects. Helena Chmura Kraemer is a retired faculty member of Stanford University, California. Christine Blasey is a faculty member of Palo Alto University, and a researcher at Stanford University, California. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
Addressing a common question posed by researchers, this book introduces readers to power analysis and sample size determination and clearly illustrates why sample sizes need to be sufficiently large to give good power properties and low error rates.
With increased emphasis on helping readers understand the context in which power calculations are done, thisSecond 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.
