Riegle-Crumb Catherine, Peng Menglu
University of Texas at Austin, Austin, TX, USA.
Sociol Educ. 2021 Jul;94(3):227-248. doi: 10.1177/00380407211014777. Epub 2021 May 18.
Utilizing the High School Longitudinal Study, a nationally representative sample of U.S. high school students, this study investigates the factors that predict different beliefs about gendered math ability and the potential consequences for students' choices to enter gender-segregated science, technology, engineering, and mathematics (STEM) majors in college. Among other results, analyses reveal that while about 25 percent of students report a traditionally stereotypical belief in male superiority, about 20 percent report a counter-stereotypical belief in female superiority; among female students, such beliefs are more common among black students. Further, models reveal a robust association between holding counter-stereotypical beliefs and the likelihood that women choose biological science majors, which are female dominated, compared to non-STEM fields. Among men, holding counter-stereotypical beliefs is associated with a lower likelihood of majoring in physical science, computer science, math, and engineering fields, which are strongly male dominated, versus non-STEM fields. Implications for gender inequality in STEM fields are discussed.
本研究利用具有全国代表性的美国高中生样本——高中纵向研究,调查了预测不同性别数学能力信念的因素,以及这些信念对学生选择进入大学中性别隔离的科学、技术、工程和数学(STEM)专业的潜在影响。分析结果还显示,约25%的学生持有传统的男性优越性刻板信念,约20%的学生持有女性优越性的反刻板信念;在女学生中,这类信念在黑人学生中更为常见。此外,模型显示,持有反刻板信念与女性选择女性主导的生物科学专业而非非STEM领域的可能性之间存在强烈关联。在男性中,持有反刻板信念与选择物理科学、计算机科学、数学和工程领域(这些领域男性占主导)而非非STEM领域的可能性较低有关。文中讨论了这些结果对STEM领域性别不平等的启示。