The Enduring Gender Gap in STEM: A Meta-Analysis of Gender Differences in Self-Efficacy in STEM Fields

Women have made substantial gains in representation in some STEM fields (e.g., biology, chemistry, math) but not others (e.g., physics, computer science, engineering). Researchers have called for a STEM field-specific approach to investigate the persistent gender gap. While some studies indicate that males report higher self-efficacy than females, which may contribute to the persistent gender gap, other studies do not. The current research used Hunter-Schmidt meta-analysis to clarify the relationship between gender and self-efficacy in STEM fields where women are underrepresented compared to fields where representation has improved. A meta-analysis of 145 effects found gender differences in self-efficacy in all but one field (biology), but the magnitude of the difference was field-specific. In computer science and physics, two fields in which underrepresentation most strongly persists, there were greater gender differences in self-efficacy compared to the other fields. Findings also highlight participant educational stage as a potentially important factor in explaining heterogeneity of gender differences in self-efficacy within STEM fields and as an area for continued research.