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Faculty Workload Recommendations in STEM: The Role of Gender and Ethnicity

Tue, April 21, 10:35am to 12:05pm, Virtual Room

Abstract

This study investigates how people recommend faculty members for research, leadership, and teaching/advising roles based on gender and race. Through an experimental design, respondents participate in an activity where they assign five fictitious faculty members to a series of tasks. Given the paucity of women and underrepresented racial minorities (URM) in STEM, we focused on biology and physics faculty. Data were analyzed utilizing Chi-square tests and a series of logistic regressions. Results indicate that there were no differences in how people were recommended for research tasks based on gender or race; however, the female and URM faculty were more likely to be recommended to research. Respondents’ personal characteristics were not significant predictors of how they recommended the faculty members.

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