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

Nonparametric statistics for the social sciences, (2nd ed.). Retrieved November 23, 2005, from http://www12.statcan.ca/english/census01/home/Index.cfm. Kuchler Probabilistic index: An intuitive non-parametric approach to measuring the size of treatment effects. Department of Psychiatry and Behavioral Sciences. If you think it is appropriate to treat your categories as continuous, a good candidate would be one of the variations of the intra-class correlation coefficient. Towards an understanding of the relationship between family-oriented benefits and employee behaviors: Does coworker support matter? Nonparametric statistics for the behavioral sciences. This is one reason why I don't make a big deal of the parametric/non-parametric distinction in my Serious stats book and probably partly why a recent article in APS Observer annoyed me so much. Statistical power analysis for the behavioral sciences. On nonparametric statistics I'm not a big fan of the term "nonparametric statistics", or at least how it is used in psychology and related fields (e.g., education and health research). McGraw-Hill Book Company, New York, USA, 1988. Serious stats: A guide to advanced statistics for the behavioral sciences. Product DescriptionRevision of the classic text in the field, adding two new chapters and thoroughly updating all others. If it's ordinal, Siegel and Castellan's Nonparametic Statistics for the Behavioral Sciences has a whole chapter on measures of association for ordinal data. 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.