We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
ANALYSIS OF CROSS-CLASSIFICATIONS OF COUNTS USING MODELS FOR MARGINAL DISTRIBUTIONS: AN APPLICATION TO TRENDS IN ATTITUDES ON LEGALIZED ABORTION.
- Authors
Becker, Mark P.
- Abstract
Models parameterized in terms of linear models for marginal logits and linear models for marginal log-odds ratios provide a useful framework for the analysis of cross-classifications of counts when there is interest in comparing marginal distributions, or studying changes in marginal distributions. Examples of such cross-classifications include tabulations of responses to a collection of items from a questionnaire, and contingency tables cross-classifying the repeated measurements of a categorical response variable from longitudinal studies. The example used for illustrative purposes in this chapter is based on four items common to the National Opinion Research Center's (NORC) 1965 SRS870. 1975 General Social Survey iGSS). and 1985 GSS. Each of the items asked respondents to indicate whether or not they approved of the availability of legalized abortions for women in a specific situation. The utility of the marginal models approach to analyzing repeated categorical measurements is demonstrated through comparisons with two analyses based on conventional tog-linear models. An algorithm that can be used to fit marginal models by the method of maximum likelihood is described in the appendix to this chapter.
- Subjects
LINEAR statistical models; MATHEMATICAL statistics; DISTRIBUTION (Probability theory); MARGINAL distributions; SOCIOLOGY methodology; ABORTION laws
- Publication
Sociological Methodology, 1994, Vol 24, Issue 1, p229
- ISSN
0081-1750
- Publication type
Article
- DOI
10.2307/270984