Nonparametric Measures of Association

When analyzing data how should the relationship between two or more sets of observations be described that is 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 the author clearly describes such techniques as Spearmans rho Kendalls tau Goodman and Kruskals gamma and Somers d and carefully explains the calculation procedures as well as the substantive meaning of each measure. In addition each technique is illustrated by one or more examples from recent social or behavioural science studies. Finally Gibbons provides information on the strengths and weaknesses of leading statisti