Faculty

Misaligned Visions for Improving Graduate Diversity: Student Characteristics vs. Systemic/Cultural Factors

Abstract: Physics departments are increasingly working to improve diversity in graduate programs by using more holistic strategies in their admission and retention practices. However, completion rates for traditionally underserved groups are still problematic. By understanding and accounting for faculty and student divergence on challenges faced in retention, graduate programs will be better equipped to enact change.

Ten simple rules for building an antiracist lab

Abstract: Demographics of the science, technology, engineering, and mathematics (STEM) workforce and student body in the US and Europe continue to show severe underrepresentation of Black, Indigenous, and people of color (BIPOC). Among the documented causes of the persistent lack of diversity in STEM are bias, discrimination, and harassment of members of underrepresented minority groups (URMs). These issues persist due to continued marginalization, power imbalances, and lack of adequate policies against misconduct in academic and other scientific institutions.

Departmental support structures for physics graduate students: Development and psychometric evaluation of a self-report instrument

Abstract: High attrition rates in science, technology, engineering, and mathematics disciplines are an ongoing problem. Graduate student attrition, in particular, is understudied. Most past studies have focused on students’ attributes, undergraduate preparation, and mentoring relationships. Emerging results from the implementation of the American Physical Society Bridge Program (APSBP) suggest that departmental support structures could lead to increased retention. However, there are no validated instruments to measure students’ experience of the departmental support structures.

Analyzing admissions metrics as predictors of graduate GPA and whether graduate GPA mediates Ph.D. completion

An analysis of 1955 physics graduate students from 19 Ph.D. programs shows that undergraduate grade point average predicts graduate grades and Ph.D. completion more effectively than GRE scores. Students’ undergraduate GPA (UGPA) and GRE Physics (GRE-P) scores are small but statistically significant predictors of graduate course grades, while GRE quantitative and GRE verbal scores are not. We also find that males and females score equally well in their graduate coursework despite a statistically significant 18 percentile point gap in median GRE-P scores between genders. A counterfactual mediation analysis demonstrates that among admission metrics tested only UGPA is a significant predictor of overall Ph.D. completion, and that UGPA predicts Ph.D. completion indirectly through graduate grades. Thus UGPA measures traits linked to graduate course grades, which in turn predict graduate completion. Although GRE-P scores are not significantly associated with Ph.D. completion, our results suggest that any predictive effect they may have is also linked indirectly through graduate GPA. Overall our results indicate that among commonly used quantitative admissions metrics, UGPA offers the most insight into two important measures of graduate school success, while posing fewer concerns for equitable admissions practices.