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Analyzing Sequential Categorical Data on Dyadic Interaction

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Dyadic Decision Making

Abstract

Recently there has been a change in focus from the study of one organism over time to the study of the social interaction between organisms. This change in focus has brought with it a renewed interest in what is generally referred to as sequential analysis (Altman 1965; Blurton-Jones, 1972; Gottman 1980a, 1980b; Gottman & Ringland, 1981; Wilson, 1975). In investigating the influences among interacting organisms, the influence that one organism has on the other members of the interacting system is typically recorded as a sequence of events in which each data entry corresponds to a behavioral state emitted by one or more of the organisms. The data, therefore, are in categorical form and frequently the simple observed frequencies of each behavioral state are used as descriptors of the various populations, for example, distressed and nondistressed marital partners (Gottman, 1979; Margolin & Wampold, 1981).

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© 1989 Springer-Verlag New York Inc.

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Kumar, A., Dillon, W.R. (1989). Analyzing Sequential Categorical Data on Dyadic Interaction. In: Brinberg, D., Jaccard, J. (eds) Dyadic Decision Making. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3516-3_5

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  • DOI: https://doi.org/10.1007/978-1-4612-3516-3_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8136-8

  • Online ISBN: 978-1-4612-3516-3

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