Statistical Power Analysis

Description

Noted for its accessible approach, this bestseller applies power analysis to both null hypothesis and minimum-effect testing using the same basic model. Through the use of a few relatively simple procedures and examples from the behavioral and social sciences, the authors show readers with little expertise in statistical analysis how to quickly obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to understand problems of study design, to evaluate research, and to choose the appropriate criterion for defining "statistically significant" outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis that is based on the F statistic.

Statistical Power Analysis reviews how to determine:

• The sample size needed to achieve desired levels of power
• The level of power needed in a study
• The size of effect that can be reliably detected by a study
• Sensible criteria for statistical significance.

The third edition features:

• Re-designed, user-friendly software at www.psypress.com/statistical-power-analysis that allows users to perform all of the book's analyses on a wider range of tests and conduct significance tests, power analyses, and assessments of N and alpha
• A new chapter on Complex ANOVA Designs that demonstrates the use of power analysis in split-plot and randomized block factorial designs
• New boxed sections that provide examples of power analysis in action and unique issues that arise when applying power analyses
• Expanded coverage of minimum-effect tests, the fundamentals of power analysis and the application of these concepts to correlational studies.

Ideal for students and researchers in the social, behavioral, and health sciences, business, and education, this valuable resource helps readers apply methods of power analysis to their research. PV and F tables serve as a quick reference.

Reviews

"The change to the software is a substantial improvement and could go a long way to making power analysis more accessible. … I often field … questions along the lines of, “I have ten subjects per variable in my study – is that enough?” It would be refreshing to direct the questioner to a text that is as clear and usable as this one." - Stephen Brand, University of Rhode Island

"I see much need for a guide on power analysis among the graduate students and I think many students will benefit from reading this book. … I especially like the boxed sections. … They greatly help readers understand basic concepts." - Jaihyun Park, Baruch College

"The … addition of worked examples for each type of analysis … will … make the book more useful. … The boxed examples present difficult concepts in student-friendly language. … I have used this book in the past … in my graduate-level Experimental Design class. … I would consider adopting it for my course." - Corinne Zimmerman, Illinois State University

Contents

1. The Power of Statistical Tests. 2. A Simple and General Model for Power Analysis. 3. Power Analyses for Minimum-Effect Tests. 4. Using Power Analyses. 5. Correlation and Regression. 6. t-Tests and the Analysis of Variance. 7. Multi-Factor ANOVA Designs. 8. Split-Plot Factorial and Multivariate Analyses. 9. The Implications of Power Analyses. Appendices.

Related Subjects

1. Power Analysis & Effect Sizes
2. Quantitative Methods
3. Quantitative Methods