This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by VERMUNT, J. K. Articles by ATO-GARCIA, M. Search for Related Content Social Bookmarking                         What's this?

Modeling Joint and Marginal Distributions in the Analysis of Categorical Panel Data

Tilburg University

MARÍA FLORENCIA RODRIGO

University of Valencia

MANUEL ATO-GARCIA

University of Murcia

This article presents a unifying approach to the analysis of repeated univariate categorical (ordered) responses based on the application of the generalized log-linear modeling framework proposed by Lang and Agresti. It is shown that three important research questions in longitudinal studies can be addressed simultaneously. These questions are the following: What is the overall dependence structure of the repeated responses? What is the structure of the change between consecutive time points? and What is the structure of the change in the marginal distributions? Each of these questions involves specifying log-linear models for different marginal distributions of the multiway cross classification of the responses. The proposed approach is illustrated by means of two real data examples.

Sociological Methods & Research, Vol. 30, No. 2, 170-196 (2001)
DOI: 10.1177/0049124101030002002


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?