The updated second edition offers expanded discussions of the chi square test of significance and the potential measures of association available for use with categoric data. Reviewing basic techniques in analysis of nominal data, this paper employs survey research data on party identification and ideologies to indicate which measures and tests are most appropriate for particular theoretical concerns. This book serves as an ideal primer for Volume 20, Log-Linear Models.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
H. T. Reynolds is professor emeritus of political science at the University of Delaware. He is author of Governing America, with David Volger; The Analysis of Nominal Data, Second Edition; and several articles on methodology.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Soft cover. Condizione: Very Good. Almost as new unread paperback purchased from an individual. Interior tight, clean & unmarked. Cover has no reading creases, but has sticker residue & coffee cup stain on front cover. Nominal data are at the lowest end of the level of measurement. These are categorical variables, where the different categories have no numerical relationship to one another (e.g., religion, major in college, etc.). Only specific kinds of statistical techniques are appropriate for such variables. This book discusses the essence of nominal data, measures of association (relationship between two variables)--including the odds ratio, the contingency coefficient, lambda, etc., and multivariate techniques (e.g., log linear models). It is my opinion that this book is from the 1st edition, since it has 82 pages instead of 88. Stated from 9th printing in 1982. Series 07: Quantitative Applications in the Social Sciences. Book numbered 07-007. There are 25 books listed in this series on the rear cover and intact order form. MSR=$4.00. Codice articolo 006225
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