Comparing success of female students to their male counterparts in the STEM fields: an empirical analysis from enrollment until graduation using longitudinal register data

Melvin Vooren; Carla Haelermans; Wim Groot; Henriette Maassen van den Brink

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Comparing success of female students to their male counterparts in the STEM fields: an empirical analysis from enrollment until graduation using longitudinal register data

机译：将女学生成功与茎田的男性同行成功比较：使用纵向寄存器数据毕业直到毕业的实证分析

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Background In this paper, we investigate the predictors for enrollment and success in Science, Technology, Engineering, and Mathematics (STEM) programs in higher education. We develop a sequential logit model in which students enroll in STEM education, may drop out from STEM higher education, or continue studying until they graduate in an STEM field. We use rich Dutch register data on student characteristics and high school exam grades to explain the differences in enrollment, success, and dropout rates. Results We find that females are less likely to enroll in STEM-related fields, while students with higher high school mathematics grades are more likely to enroll in STEM. Female students have lower first-year dropout rates at university of applied sciences STEM programs. With respect to study success, we find that conditional on enrollment in STEM, women are less likely to graduate than men within the nominal duration or the nominal duration plus one additional year. However, female students do perform equally well as male students in terms of graduation within 10 years. Conclusions We conclude that STEM programs are less popular among female students and that female students are less likely to graduate on time. However, females perform equally well in STEM higher education in the long run. For this reason, policy should be geared at increasing study success in terms of nominal graduation rates among female STEM students.

机译：背景技术在本文中，我们调查了高等教育中的科学，技术，工程和数学（Stem）计划中的入学和成功的预测因子。我们开发了一个序贯的Logit模型，其中学生注册茎干教育，可能会从茎高等教育中辍学，或继续学习，直到他们在茎领域毕业。我们使用富含荷兰注册数据的学生特征和高中考试等级来解释入学，成功和辍学率的差异。结果我们发现女性不太可能注册与词干相关的领域，而高中数学成绩的学生则更有可能注册茎。女学生在应用科学大学的第一年辍学率下降。关于研究成功，我们发现，在茎中的入学方面，妇女的有条件不太可能毕业于名义持续时间内的男性或名义持续时间加上一年。然而，女学生在10年内在毕业方面表现得同样好。结论我们得出结论，茎方案在女学生中不太受欢迎，而女学生则不太可能准时毕业。然而，长期以来，女性在茎高教育中表现得同样好。出于这个原因，政策应在越来越多的研究成功方面，在女性词干学生的标称毕业率方面。

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《International Journal of STEM Education》 |2022年第1期|共17页
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Melvin Vooren; Carla Haelermans; Wim Groot; Henriette Maassen van den Brink;
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STEMHigher educationStudy successSequential logit modelRegister data;

机译：StemHigher教育StudeSequential Logit ModelRegister数据;

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2. Determinants on Rural-Urban Labor Migration in China： Empirical Analysis on the Effect of Rural Cooperate Medical Insurance based on Cross-Sectional and Longitudinal Data [J] . Jiang Yong, Hart Xiangyang, Wang Shumei, 中国人口·资源与环境（英文版） . 2012,第003期
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机译：“遗失物种”-STEM领域的女学生对性别典型学科和STEM领域的奥地利年轻女学生的定性研究
4. The Interest Profiles and Interest Congruence of Male and Female Students in STEM and Non-STEM Fields [J] . Ertl Bernhard, Hartmann Florian G. Frontiers in Psychology . 2019,第2期

机译：茎和非茎田男女学生的利息概况和利息一致
5. The Interest Profiles and Interest Congruence of Male and Female Students in STEM and Non-STEM Fields [J] . Bernhard Ertl, Florian G. Hartmann Frontiers in Psychology . 2019,第a期

机译：茎和非茎田男女学生的利息概况和利息一致
6. How we measure success makes a difference: Eight-semester persistence and graduation rates for female and male engineering students [C] . Matthew Ohland, Michelle Camacho, Richard Layton, ASEE Annual Conference . 2009

机译：我们如何衡量成功有所不同：女性和男性工程学生八学期持久性和毕业率
7. Too Few Black Males in STEM: Exploring How Black Male STEM Majors Understand and Explain Their Interests and Success in STEM Fields [D] . Gayle, O'Neil Glenn. 2018

机译：STEM中的黑人男性人数很少：探索黑人男性STEM专业人士如何理解和解释他们在STEM领域中的兴趣和成功
8. The Interest Profiles and Interest Congruence of Male and Female Students in STEM and Non-STEM Fields [O] . Bernhard Ertl, Florian G. Hartmann 2005

机译：STEM和非STEM领域男女学生的兴趣特征和兴趣一致
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KKT is a science wing that tries to solve human problems with a wider perspective aimed at solving problematic human behaviors (Plumb, Stewart, Dahl and Lundgren, 2009). It is seen that there is very little research about the new approach of ACT approach when the aiming country of our country is screened and it is thought that our country will contribute to the field of psychological counseling with the work done. In the scope of the research, experimental and control groups and preliminary test, post-test and follow-up measurements of 2x3 experimental design were used. The study's study group consists of a total of 24 (12 experimental and 12 control groups) university students studying in different departments and levels, continuing their education in the academic year of 2015-2016 in Ağrı province and İbrahim Chechen University in 2015-2016 academic year. The average age of participants in the experiment and control group is 20. 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The pre-test scores obtained from the rational decision-making style of the experimental and control groups showed that there was a difference between the post-test and the follow-up scores, but this difference was not significant. As a result of the analysis, it was determined that the test group had higher levels of rational decision style than the pre - test scores in the post test and follow - up scores, whereas the post test and follow - up test scores in the control group rational decision style showed a decrease compared to the pre - test scores. the pre - test scores. Decision-making Styles Scale Avoidant Decision Making As a result of the analysis of the mean scores of the subscale scores of pre-test, post-test and follow-up measures, the group effect was found to be insignificant. It was determined that the experimental and control groups differed significantly from the pre-test scores obtained from the avoidant decision-making style but did not show any significant change within the scores of the post-test and follow-up tests. [O] . mustafa ercengiz, ali haydar şar 2018

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10. The Structure and Determinants of Youth Unemployment: An Empirical Analysis of Black-White, Male-Female Differences [R] . Leighton, L. S. 1980

机译：青年失业的结构与影响因素：黑人，男女差异的实证分析

Comparing success of female students to their male counterparts in the STEM fields: an empirical analysis from enrollment until graduation using longitudinal register data

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