Leveraging Social Networks to Build Collective Efficacy for Justice, Equity, and Inclusion (Poster 6)

• In Event: Saturday Poster Session 3:05 pm
  In Poster Session: Explorations in Student Motivation, Self-Efficacy, and Educational Outcomes

Abstract

We report on data from a federally funded project in which we developed a tailorable curriculum for geoscience university faculty to learn how to identify prejudicial structures in their geoscience departments and redress them by co-developing a diversity, equity, and inclusion project with a small team of three colleagues. Using a Bayesian multilevel modeling approach results showed: (1) growth in participants’ (n=21) self- and collective efficacy from pre- to post-intervention; (2) the sources of efficacy beliefs (aside from vicarious experiences) predicted self-efficacy, but not collective efficacy. Also, a social network analysis revealed that people with non-redundant ties (i.e., greater network effective size) had greater collective efficacy. Results refine social cognitive theory, particularly in regard to the sources of efficacy beliefs.

Authors

• Jason A. Chen, College of William & Mary

• M. Shane Tutwiler, University of Rhode Island

• Kathy Quardokus-Fisher, University of Notre Dame