Summary
Contents
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.
Measures of Association
Measures of Association
Introduction
Since the usual goodness-of-fit chi square test says only whether two variables may or may not be statistically independent, and by itself it does not give the strength or form of the relationship, one usually calculates a measure of association as the next step in the ...