Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences

Synopsis

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.

Excerpt

During my first dozen years of teaching and consulting on applied statistics with behavioral scientists, I became increasingly impressed with the importance of statistical power analysis, an importance which was increased an order of magnitude by its neglect in our textbooks and curricula. The case for its importance is easily made: What behavioral scientist would view with equanimity the question of the probability that his investigation would lead to statistically significant results, i.e., its power? And it was clear to me that most behavioral scientists not only could not answer this and related questions, but were even unaware that such questions were answerable. Casual observation suggested this deficit in training, and a review of a volume of the Journal of Abnormal and Social Psychology (JASP) (Cohen, 1962), supported by a small grant from the National Institute of Mental Health (M-5174A), demonstrated the neglect of power issues and suggested its seriousness.

The reason for this neglect in the applied statistics textbooks became quickly apparent when I began the JASP review. The necessary materials for power analysis were quite inaccessible, in two senses: they were scattered over the periodical and hardcover literature, and, more important, their use assumed a degree of mathematical sophistication well beyond that of most behavioral scientists.

For the purpose of the review, I prepared some sketchy power look-up tables, which proved to be very easily used by the students in my courses at New York University and by my research consultees. This generated the . . .

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