Riegle-Crumb Catherine, King Barbara, Moore Chelsea
Department of Curriculum and Instruction, and Department of Sociology (by courtesy), The University of Texas at Austin.
Department of Teaching and Learning, Florida International University.
Sex Roles. 2016 May;74(9):436-449. doi: 10.1007/s11199-016-0583-4. Epub 2016 Jan 30.
Drawing on prior theoretical and empirical research on gender segregation within educational fields as well as occupations, we examine the pathways of college students who at least initially embark on a gender-atypical path. Specifically, we explore whether women who enter fields that are male-dominated are more likely to switch fields than their female peers who have chosen other fields, as well as whether men who enter female-dominated majors are more likely to subsequently switch fields than their male peers who have chosen a more normative field. We utilize a sample of 3702 students from a nationally representative dataset on U.S. undergraduates, the Beginning Postsecondary Students Longitudinal Study (BPS 2004/09). Logistic regression models examine the likelihood that students switch majors, controlling for students' social and academic background. Results reveal different patterns for men and women. Men who enter a female-dominated major are significantly more likely to switch majors than their male peers in other majors. By contrast, women in male-dominated fields are not more likely to switch fields compared to their female peers in other fields. The results are robust to supplementary analyses that include alternative specifications of the independent and dependent variables. The implications of our findings for the maintenance of gendered occupational segregation are discussed.
借鉴先前关于教育领域以及职业中性别隔离的理论和实证研究,我们考察了那些至少在初始阶段走上性别非典型道路的大学生的路径。具体而言,我们探究进入男性主导领域的女性是否比选择其他领域的女性同行更有可能转换领域,以及进入女性主导专业的男性随后是否比选择更常规领域的男性同行更有可能转换领域。我们使用了来自一个具有全国代表性的美国本科生数据集——高等教育新生纵向研究(BPS 2004/09)中的3702名学生样本。逻辑回归模型考察了学生转换专业的可能性,并控制了学生的社会和学术背景。结果揭示了男性和女性的不同模式。进入女性主导专业的男性比其他专业的男性同行更有可能转换专业。相比之下,与其他领域的女性同行相比,处于男性主导领域的女性转换领域的可能性并没有更高。这些结果在包括自变量和因变量的替代设定的补充分析中是稳健的。我们讨论了研究结果对维持性别化职业隔离的影响。