Understanding group dynamics is essential for promoting institutional change. The purpose of this brief article is to introduce the use of Yule’s Q to quantify group dynamics in a way that allows an individual’s tendency to associate with others based on their shared attributes to be captured as they evolve.
Two academic departments at a large public urban university participated in ongoing meetings as part of the year-long change initiative. Field notes of these meetings were recorded for information on participants and the flow of conversations. Yule’s Q was calculated with responsive interaction network and attribute data coded from the field notes.
Yule’s Q can be used to quantify group dynamics with a visualization of interactions among group members. The differences in the triggered divisions or faultlines in organizational change initiatives by shared common attributes (e.g. levels of positions within departments) can be related to group interactions and/or disruptions in collaboration.
This study can contribute to broadening the research community’s analytic approaches to utilizing network and attribute data for understanding group dynamics and their patterns across meetings.
