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Nonparametric statistics for the behavioral
Nonparametric statistics for the behavioral

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


Download Nonparametric statistics for the behavioral sciences



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




Nonparametric statistics for the behavioral sciences. 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). Dominance statistics: Ordinal analyses to answer ordinal questions. Statistical power analysis for the behavioral sciences (2nd ed.). The probability-based measure A, the nonparametric generalization of what K. Retrieved November 23, 2005, from http://www12.statcan.ca/english/census01/home/Index.cfm. Psychology of Addictive Behaviors . · New York: McGraw Hill Book Company, 1988. [Find It]; Siegel, S., & Castellan, J. · Sprinthall, Richard C.: Basic Statistical Analysis. Siegel, Sidney: Nonparametric Statistics for the Behavioural Sciences. 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. The objective of this paper is to demonstrate how nonparametric statistical methods can be simply applied to data likely to result from plant disease experiments. Journal of the American Statistical Association, 76, 162-168. Unlike parametric person-fit statistics, nonparametric person-fit statistics do not require fitting a parametric test theory model.

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