title: Breadth-Based Models of Women's Underrepresentation in STEM Fields: An Integrative Commentary on Schmidt (2011) and Nye et al. (2012).
abstract: Relative strength of math and verbal abilities and interests drive science, technology, engineering, and math (STEM) career choices more than absolute math ability alone. Having one dominant aptitude (e.g., for mathematics) increases the likelihood of a strong self-concept in that domain and decreases the likelihood of equivocation about career choices in comparison with individuals with equivalent mathematical aptitude who have comparable strength in non-math areas. Males are more likely than females to have an asymmetrical cognitive profile of higher aptitude in math relative to verbal domains. Together, these two points suggest that the academic and career pursuits of high math ability males may be attributable to their narrower options among STEM fields, whereas females' more symmetrical cognitive profile means their math and verbal interests compete in the formation of their ability self-concept and, hence, in their broader career choices. Such equivocation about STEM careers is in fact already evident in girls with high math aptitude as early as junior high school. Thus, we argue that asymmetry in interests and aptitudes is an underappreciated factor in sex differences in career choice. To the extent this is true, focusing on strengthening young women's STEM-related abilities and ability self-concepts to increase female STEM representation may be an unproductive approach; to increase representation, it may be more effective to focus on harvesting the potential of those girls and women whose breadth of interest and high ability spans social/verbal and spatial/numerical domains. The use of interventions that play to this greater breadth by socially contextualizing STEM is one potential solution.
authors: Department of Human Development, Cornell University, and National Brain Research Centre, Manesar, India jmv34@cornell.edu.
authors: Jeffrey M
authors: JM
authors: Valla
authors: Department of Human Development, Cornell University, and National Brain Research Centre, Manesar, India.
authors: Stephen J
authors: SJ
authors: Ceci
keywords: STEM underrepresentation; cognitive sex differences