Statistical Power Analysis for the Behavioral Sciences

This non-technical guide to power analysis in research planning in the behavioural sciences, provides users of applied statistics with the tools needed for more effective analysis. This edition includes a new chapter covering power analysis in set correlations and multivariate methods.

"...provides a very convenient source for formulas and tables to compute power in some common analyses....the excellent writing allows lending the book and being comfortable in expecting the scientist to use the book for power calculations with little assistance."
—Technometrics

"This is the second edition of work that has become a minor classic. It ranks as a required reference for research grant applications in the social sciences....It provides a much-needed reference for those not as numerically proficient as many JASA readers....overall the book is clearly written."
—Journal of the American Statistical Association

"...provides readers who apply statistical analyses to their data with descriptions of the rationale for each of several procedures as well as the steps in computation separately and does so in a clearly written style."
—Perceptual and Motor Skills

Autorentext

Jacob Cohen

Klappentext

"Statistical Power Analysis" is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes:

• a chapter covering power analysis in set correlation and multivariate methods;
• a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;

• expanded power and sample size tables for multiple regression/correlation.

  Inhalt

  Contents: Prefaces. The Concepts of Power Analysis. The t-Test for Means. The Significance of a Product Moment rs (subscript s). Differences Between Correlation Coefficients. The Test That a Proportion is .50 and the Sign Test. Differences Between Proportions. Chi-Square Tests for Goodness of Fit and Contingency Tables. The Analysis of Variance and Covariance. Multiple Regression and Correlation Analysis. Set Correlation and Multivariate Methods. Some Issues in Power Analysis. Computational Procedures.