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.
Used Book in Good Condition
Most Helpful Customer Reviews
This is an amazing book that is not appreciated enough. Finally broke down and actually spent the money to buy it because it is so valuable. Every student, professor or researcher doing any sort of research that uses statistics. Absolutely critical to understanding and interpreting modern statistics. I was able to read through this book and understand what Cohen was talking about after an undergraduate statistics course. Really simple to understand and really able to see the implications of the effect size. Also, you realize that the p-value is a really meaningless score! Best of luck to all!
The equations in the Kindle version of this book are so small (4 point type???) as to make reading the book all but hopeless. I own the classic hardback version, which--of course--does not suffer from this all-too-common problem with equations on Kindles in my experience.
Clearly written comprehensive tome - a must-have for any Stat reference library, particularly for background on effect sizes.
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