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- Title
Multilevel methods for modeling observed sequences of family interaction.
- Authors
Howe, George W; Dagne, Getachew; Brown, C Hendricks
- Abstract
Observation of interaction plays a central role in family research. This article discusses how to analyze sequential data generated by discrete microcoding methods to test hypotheses about family interaction. Current methods for studying sequential data are presented, and their limits are discussed. Building on recent applications of contingency table analysis to such data, a multilevel log-linear model is presented that can specify and estimate indicators of individual behavioral tendencies and antecedent-consequent relationships among behaviors, both within and across samples of families. An example of this method is presented using data from a study of couples facing job loss. Potential extensions of this framework for future research are discussed.
- Publication
Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43), 2005, Vol 19, Issue 1, p72
- ISSN
0893-3200
- Publication type
Journal Article
- DOI
10.1037/0893-3200.19.1.72