Analysis of Nominal Data (Quantitative Applications in the Social Sciences) by Reynolds, H. (Henry) T.(July 1, 1984) Paperback

by H.T. Reynolds

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.

Genres: Research Methods

Unknown Binding

First published July 1, 1984

Reviews

[Steven Peterson · Rating 3 out of 5]

This is one of the entries in the Sage series, "Quantitative Applications oin the Social Sciences." The subject of this slim volume (just 82 pages long)? Analyzing nominal data. 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 does a serviceable job discussing 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).

Not the easiest reading book, but a resource for those willing to wade through the text.