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

Nonparametric statistics for the behavioral sciences Sidney Siegel ebook. Determining appropriate sample sizes is emphasized Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Cohen J: Statistical power analysis for the behavioral sciences. 1 School of Life Sciences, Faculty of Science, Kingston University, Penrhyn Road, Kingston upon Thames, Surrey, KT1 2EE, UK. Statistical power analysis for the behavioral sciences (2nd ed.). Dominance statistics: Ordinal analyses to answer ordinal questions. The probability-based measure A, the nonparametric generalization of what K. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Journal of the American Statistical Association, 76, 162-168. Download Nonparametric statistics for the behavioral sciences. ISBN: 9780070573, Publisher: McGraw-Hill. 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). Knowledge of introductory statistics is assumed.