Nonparametric measures of association

About this book

"When analyzing your data, how should you describe the relationship (or, association) between two or more sets of observations, i.e., values of two or more variables, when the variables are ordinal and not bivariate normal? Aimed at helping the researcher select the most appropriate measure of association for two or more variables, Jean Dickinson Gibbons clearly describes such techniques as Spearman's rho, Kendall's tau, Goodman & Kruskals' gamma, and Somer's d. She also carefully explains the calculation procedures as well as the substantive meaning of each measure (such as that rho is based on rankings while tau is based on paired comparisons). In addition, each technique is illustrated by one or more examples from recent social or behavioral science studies. Lastly, Gibbons provides information on the strengths and weaknesses of leading statistical packages for calculating these measures."--Pub. desc.