Analyzing Change in Categorical Variables by Generalized Log-Linear Models
This article discusses how several hypotheses about change in discrete variables can be tested on data obtained in a longitudinal study. A first class of hypotheses pertain to the invariance of certain characteristics of marginal distributions. A second class of hypotheses derive from assumptions ab...
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Veröffentlicht in: | Sociological methods & research 2000-11, Vol.29 (2), p.195-229 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This article discusses how several hypotheses about change in discrete variables can be tested on data obtained in a longitudinal study. A first class of hypotheses pertain to the invariance of certain characteristics of marginal distributions. A second class of hypotheses derive from assumptions about the causal relations between the variables. In this article, the authors show how all these hypotheses can be tested by means of a generalization of log-linear modeling developed by Lang and Agresti. By means of the same approach, it is also possible to test conjunctions of several hypotheses from both classes. |
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ISSN: | 0049-1241 1552-8294 |
DOI: | 10.1177/0049124100029002002 |