Footnote:
In: British Journal of Mathematical and Statistical Psychology (1986), 39, 41-64
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 1986 erstellt
Description:
Social interaction data record the intensity of the relationship, or frequency of interaction, between two individual actors. Recent methods for analysing such data have treated these relational variables as continuous. A more appropriate method, described here, views these dyadic interactions as variables in multidimensional discrete cross-classified arrays, thus permitting analysis by log-linear models.These methods extend previous approaches to social interaction data, which were limited to binary relations, by focusing on discrete-valued relations. Dyadic interactions, measured for a single discrete relational variable, are modelled stochastically using tendencies towards expansiveness (actor-effects), popularity (partner-effects) and reciprocity. Actor-characteristic variables may be used to group actors into a substantive partition, thus simplifying the analysis and subsequent interpretations