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Effect sizes for research; a broad practical approach.




Effect sizes for research; a broad practical approach.

Grissom, Robert J. and John J. Kim.

Lawrence Erlbaum, [c]2005

253 p.


Writing for a broad readership that use statistical methods in their studies or research, the authors (both of San Francisco State U.) examine a variety of measures and estimators of statistical effect sizes, their proper applications and interpretations, and their limitations. They focus on analyzing postresearch results in terms of the size of obtained effects in individual pieces of research. They consider standardized differences between means, correlational measures, strength of association, confidence intervals, and less- known measures such as stochastic superiority. Where there is disagreement within the field about appropriate measure of effect size, alternate views are cited.
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Title Annotation:MATH, COMPUTERS
Publication:SciTech Book News
Article Type:Brief Article
Date:Jun 1, 2005
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