Nonparametric Measures of Association

Informationen zum Autor Gibbons, a retired professor from the University of Alabama who now lives in Florida, earned her Ph.D. in statistics from Virginia Tech in 1962. She says she made the gift as an effort to enable the university to recruit the nation’s best doctoral candidates in her field, and to help the United States remain the global leader in the discipline. “Statistics is my love,” Gibbons said. “It’s my vocation, as well as my avocation. I was so delighted when I discovered statistics … and I think that it is a field that will always be of utmost importance.” Klappentext 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 Spearman's rho, Kendall's tau, Goodman and Kruskals' gamma and Somer's 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 statistical packages for calculating these measures. Inhaltsverzeichnis Introduction Spearman¿s Rho and Kendall¿s Tau as Descriptive Measures of Association Inferences Based on Rho and Tau Kendall¿s Coefficient of Concordance Partial Correlation Measures of Association in Ordered Contingency Tables Summary

Détails du produit

• Auteurs: Jean D. Gibbons, Jean Dickinson Gibbons, Jean D. Gibbons Fielden
• Collaboration: Jean D. Gibbons (Editeur)
• Edition: Sage Publications Ltd
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 23.04.1993
• EAN: 9780803946644
• ISBN: 978-0-8039-4664-4
• Pages: 104
• Thèmes: Quantitative Applications in the Social Sciences; Quantitative Applications in t; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Théorie des probabilités, stochastique, statistiques; Sciences sociales, droit, économie > Sociologie > Théories sociologiques; SOCIAL SCIENCE / Research, MATHEMATICS / Probability & Statistics / General, LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Statistics, Communication Studies, Social research & statistics, Probability & statistics, Probability and statistics, Social research and statistics