chapter  6
Categorical Data Analysis
Pages 30

A casual perusal of the codebook and variable descriptions for most publicuse survey data sets quickly leads to the observation that the responses to the majority of survey questions in the social sciences and public health and related fields of research are measured as a binary choice (e.g., yes, no), a selection from multinomial response categories (e.g., ethnicity), a choice from an ordinal scale (e.g., strongly agree to strongly disagree), or possibly a discrete count of events. This chapter covers procedures for simple univariate, bivariate, and selected multivariate analyses for such categorical survey responses, focusing on the adaptation of established analytic techniques to complex sample survey data. For readers interested in a fuller discussion of these basic techniques of categorical data analysis, we recommend Agresti (2002).