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

Offers an introduction to statistics for students in the behavioral and social sciences. Statistical power analysis for the behavioral sciences (2nd ed.). The importance of nonparametric strategies Immediately, these highly efficient methods are being utilized to an ever-widening variety of experimental designs within the social, behavioral, biological, and physical sciences. 18.3 SPSS in Focus: The related samples sign test. Chapter 18—Nonparametric Tests: Tests For Ordinal Data. Journal of the American Statistical Association, 76, 162-168. Dominance statistics: Ordinal analyses to answer ordinal questions. Wallnau, Mathematics Books - Blackwell Online Bookshop. Statistics for the Behavioral Sciences, Frederick J. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, . It could possibly be used for a course in nonparametric statistics at the graduate level in Psychology or the social sciences, although I do not think the whole e-book could possibly be covered in a semester. The probability-based measure A, the nonparametric generalization of what K. 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. Siegel S, Castellan JN Jr: Nonparametric Statistics for the Behavioral Sciences. Müller K, Anderson CW, Birch GE: Linear and nonlinear methods for brain-computer interfaces. 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).