A General Framework for the Statistical Analysis of Sequential Dyadic Interaction Data

Psychological Bulletin,1988, Vol. 103, No. 3, 379-390

12 Pages Posted: 19 Nov 2015 Last revised: 19 Feb 2016

See all articles by Dawn Iacobucci

Dawn Iacobucci

Vanderbilt University - Marketing; Vanderbilt University - Marketing

Stanley Wasserman

Indiana University Bloomington

Date Written: 1988

Abstract

Recent interest in sequential dyadic interactions has motivated researchers to develop methods appropriate for the analysis of such data. After briefly reviewing a series of methodological papers focusing on the analysis of discrete-valued observations, we present a general framework for studying many substantive effects, including dominance and autodependencies, in social interactions measured on dyads. We show how this framework allows a researcher to study dyadic interactions measured at two or more time points on one or more relations. The methods described here are general enough to permit the simultaneous analysis of the sequential relational variables and attribute variables (such as sex of actors or emotional status of the dyad) recorded on either the dyad or the actors.

Suggested Citation

Iacobucci, Dawn and Iacobucci, Dawn and Wasserman, Stanley, A General Framework for the Statistical Analysis of Sequential Dyadic Interaction Data (1988). Psychological Bulletin,1988, Vol. 103, No. 3, 379-390, Available at SSRN: https://ssrn.com/abstract=2691630 or http://dx.doi.org/10.2139/ssrn.2691630

Dawn Iacobucci (Contact Author)

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Stanley Wasserman

Indiana University Bloomington ( email )

Dept of Biology
100 South Indiana Ave.
Bloomington, IN 47405
United States

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