This non-technical guide to power analysis in research planning
provides users of applied statistics with the tools they need for
more effective analysis. Expanded and updated, the book uses the
same approach and organization as the previous edition, but
includes a chapter covering power analysis in set correlation and
multivariate methods, a chapter considering the effect size,
psychometric reliability and the efficacy of qualifying dependent
variables, and expanded power and sample size tables for multiple
regression/correlation.
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