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Organizational practices and gender diversity: Factors contributing to differential participation in Computer Science and Engineering doctoral programs.

机译:组织实践和性别多样性:导致差异参与计算机科学和工程博士学位课程的因素。

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摘要

The present study examines the sources of variation in gendered outcomes among Computer Science and Engineering (CSE) doctoral programs. The data was collected in 2003 for a project funded through the Computing Research Association by a grant from the National Science Foundation. Joanne M. Cohoon was Principal Investigator and contact. Survey data from a nationally representative sample of 48 CSE departments are examined to identify gender gaps in enrollment, thoughts of leaving the program, and reports of academic and social support from within the department. Responses from faculty are used to construct measures of department characteristics, and responses from graduate students and chairpersons are used to construct measures of outcomes. Factors tested in a logistic regression model for gendered effects in the admissions process are gender stereotyping, criteria representing a CSE occupational schema, formality of criteria, diversity practices, and attitudes towards increasing diversity. Results show that criteria representing a CSE occupational schema predict a lower enrollment of women, while consideration of minority status in admissions decisions predicts a higher enrollment of women. Preliminary evidence indicates that formalized criteria mediate unfavorable effects of gender stereotyping, and that attitudes supportive of increasing diversity mediate effects of diversity practices in expected directions. Factors tested for gendered effects in program participation using hierarchical linear modeling include gender stereotyping, diversity attitudes, diversity practices, faculty support of students, and faculty promotion of a competitive versus helping ethic towards students. Results show that research orientation (a control variable), diversity attitudes, a certain type of faculty-student support, and formalizing the flow of information predict gender differences in participation. The findings contribute to understanding how interactional and structural mechanisms operate together in organizations to influence differential outcomes. The discussion draws on the literature on gender and science, gender and occupations, and diversity and organizations.
机译:本研究调查了计算机科学与工程(CSE)博士课程中性别结果差异的来源。该数据是2003年由美国国家科学基金会(National Science Foundation)资助通过计算机研究协会资助的一个项目的数据。 Joanne M. Cohoon是首席研究员和联系人。对来自48个CSE部门的全国代表性样本的调查数据进行检查,以识别入学方面的性别差距,离开该计划的想法以及该部门内部的学术和社会支持报告。教师的反馈意见用于构建部门特征的度量,研究生和主席的反馈意见用于构建成果的度量。在逻辑回归模型中,针对入学过程中性别影响的测试因素包括性别定型观念,代表CSE职业模式的标准,标准的形式化,多样性实践以及对增加多样性的态度。结果表明,代表CSE职业模式的标准预测女性入学率较低,而在招生决策中考虑少数群体身份则表明女性入学率较高。初步证据表明,正式的标准调解了性别陈规定型观念的不利影响,而支持增加多样性的态度在预期的方向上调解了多样性做法的影响。使用分层线性模型测试的参与计划中的性别影响的因素包括性别定型观念,多样性态度,多样性实践,学生对教师的支持以及教师对学生的竞争性与帮助性道德的促进。结果表明,研究方向(控制变量),多元化态度,一定类型的师生支持以及形式化的信息流可以预测参与的性别差异。这些发现有助于理解组织中的相互作用机制和结构机制如何共同影响差异结果。讨论借鉴了有关性别与科学,性别与职业,多样性和组织的文献。

著录项

  • 作者

    Lord, Holly Robin.;

  • 作者单位

    University of Virginia.;

  • 授予单位 University of Virginia.;
  • 学科 Womens Studies.;Education Higher.;Sociology Organizational.;Education Administration.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 192 p.
  • 总页数 192
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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