Nonparametric statistics for the behavioral sciences . Sidney Siegel

Nonparametric statistics for the behavioral sciences


Nonparametric.statistics.for.the.behavioral.sciences..pdf
ISBN: 9780070573, | 332 pages | 9 Mb


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Nonparametric statistics for the behavioral sciences Sidney Siegel
Publisher: McGraw-Hill




The probability-based measure A, the nonparametric generalization of what K. Product DescriptionRevision of the classic text in the field, adding two new chapters and thoroughly updating all others. Siegel S: Nonparametric statistics for the behavioral sciences. 18.3 SPSS in Focus: The related samples sign test. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, . Statistical power analysis for the behavioral sciences (2nd ed.). Dominance statistics: Ordinal analyses to answer ordinal questions. Our results also show that when the underlying model is that used in the parametric approach, our approach performs comparably to the proposed statistical model. This manual was originally intended to accompany Howell, D. (2004) Fundamental Statistics for the Statisitcs for The Behavioral Sciences Author: David C. Chapter 18—Nonparametric Tests: Tests For Ordinal Data. Wong (1992) called the common language effect size statistic, is insensitive to base rates and more robust to several other factors (e.g., extreme scores, nonlinear transformations). New York, NY: McGraw-Hill; 1956:68-75. Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. Journal of the American Statistical Association, 76, 162-168.