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This study investigated whether family−school conflict, directly and indirectly, predicts behavioral regulatory strategies (via emotion regulation) among women in higher education. The authors aim to hypothesize that the direct and indirect effects would vary by race/ethnicity.

Participants were 1,872 incoming first-year female students from a large, racially/ethnically diverse urban public university. They were classified into four racial/ethnic groups: 22% Asian American (n = 403), 11% Black (n = 209), 46% Latina (n = 865), and 21% White (n = 395). Data were collected from institutional records and an online student pre-matriculation survey. Multigroup structural equation modeling (SEM) was performed to explore the structural relations among key variables.

Family−school conflict was negatively associated with help-seeking in all racial/ethnic groups, whereas family−school conflict was negatively associated with time management only for Latina students. In addition, family−school conflict indirectly predicted time management and help-seeking through increased emotion regulation, particularly among Latina students.

In considering racial heterogeneity, the results showed the importance of analyzing racial/ethnic groups separately to obtain more accurate information on self-regulation mechanisms in family−school conflict contexts.

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.