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ERIC Number: EJ887371
Record Type: Journal
Publication Date: 2010-Jun
Pages: 22
Abstractor: As Provided
Reference Count: 55
ISSN: ISSN-0033-3123
Exploring the Dynamics of Dyadic Interactions via Hierarchical Segmentation
Hsieh, Fushing; Ferrer, Emilio; Chen, Shu-Chun; Chow, Sy-Miin
Psychometrika, v75 n2 p351-372 Jun 2010
In this article we present an exploratory tool for extracting systematic patterns from multivariate data. The technique, hierarchical segmentation (HS), can be used to group multivariate time series into segments with similar discrete-state recurrence patterns and it is not restricted by the stationarity assumption. We use a simulation study to describe the steps and properties of HS. We then use empirical data on daily affect from one couple to illustrate the use of HS for describing the affective dynamics of the dyad. First, we partition the data into three periods that represent different affective states and show different dynamics between both individuals' affect. We then examine the synchrony between both individuals' affective states and identify different patterns of coherence across the periods. Finally, we discuss the possibilities of using results from HS to construct confirmatory dynamic models with multiple change points or regime-specific dynamics. (Contains 1 table, 11 figures, and 3 footnotes.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A