Revealing the queer-spectrum in STEM through robust demographic data collection in undergraduate engineering and computer science courses at four institutions.
Revealing the queer-spectrum in STEM through robust demographic data collection in undergraduate engineering and computer science courses at four institutions.
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DOI：
10.1371/journal.pone.0264267
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
Fuselier LC
中科院分区：
文献类型：
--
作者：
Casper AMA;Atadero RA;Fuselier LC
在多样性倡议中，酷儿身份往往被忽视，但越来越多的研究描述了STEM中显著的异性恋和性别规范期望，导致不支持和歧视性的环境以及酷儿个体的持续性降低。对酷儿谱系个体经历的研究受到当前人口统计学实践的限制。在包含同性恋者的调查中，对最佳做法没有达成共识，具有同性恋者性别和同性恋者性取向的个人，浪漫的，以及相关的取向通常被归为一个大类（例如LGBTQ+）。我们开发了两个包含酷儿的人口统计学问题，并将其作为本科工程和计算机科学课程更大研究的一部分进行管理（n = 3698），以确定三种调查类型中的哪一种（传统，酷儿，开放式）提供了最可靠的数据，并将回答与国家数据进行比较，以确定是否有酷儿性别和/或酷儿性，浪漫，工程和计算机科学课程中相关方向的代表性不足。带有同性恋身份选项的性别调查提供了最可靠的数据，这一点可以通过较高的回复率和相对较高的同性恋身份披露率来衡量。传统调查（男性、女性、其他）有显著较少的学生透露同性恋身份，而开放式调查有显著较高的无应答率。在调查中允许多重回答是很重要的：78%的同性恋者和9%的同性恋者在同一个调查问题中选择了多重身份。在我们的研究中，同性恋学生相对于国家数据的代表性不足。透露酷儿性别认同的学生仅为预期人数的百分之七，而有酷儿取向的学生则少了四分之一。为了更大规模地改变人口统计学实践，需要进一步开发基于研究的酷儿人口统计学工具，这将有助于其他人识别和解决酷儿谱系个体在STEM中面临的障碍。
Queer identities are often ignored in diversity initiatives, yet there is a growing body of research that describes notable heterosexist and gender-normative expectations in STEM that lead to unsupportive and discriminatory environments and to the lower persistence of queer individuals. Research on the experiences of queer-spectrum individuals is limited by current demographic practices. In surveys that are queer-inclusive there is no consensus on best practices, and individuals with queer genders and queer sexual, romantic, and related orientations are often lumped together in a general category (e.g. LGBTQ+). We developed two queer-inclusive demographics questions and administered them as part of a larger study in undergraduate engineering and computer science classes (n = 3698), to determine which of three survey types for gender (conventional, queered, open-ended) provided the most robust data and compared responses to national data to determine if students with queer genders and/or queer sexual, romantic, and related orientations were underrepresented in engineering and computer science programs. The gender survey with queer-identity options provided the most robust data, as measured by higher response rates and relatively high rates of disclosing queer identities. The conventional survey (male, female, other) had significantly fewer students disclose queer identities, and the open-ended survey had a significantly higher non-response rate. Allowing for multiple responses on the survey was important: 78% of those with queer gender identities and 9% of those with queer sexual, romantic and related orientations selected multiple identities within the same survey question. Queer students in our study were underrepresented relative to national data. Students who disclosed queer gender identities were 7/100ths of the expected number, and those with queer orientations were under-represented by one-quarter. Further work developing a research-based queered demographics instrument is needed for larger-scale changes in demographics practices, which will help others identify and address barriers that queer-spectrum individuals face in STEM.
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影响因子：
2.1
作者：
Dugan, John P.;Kusel, Michelle L.;Simounet, Dawn M.
通讯作者：
Simounet, Dawn M.
影响因子：
2.7
作者：
Beattie, Irenee R.;Van Dyke, Nella;Hagaman, Natasha
通讯作者：
Hagaman, Natasha
影响因子：
2.3
作者：
Frohard-Dourlent, Helene;Dobson, Sarah;Saewyc, Elizabeth M.
通讯作者：
Saewyc, Elizabeth M.
影响因子：
3.8
作者：
Broussard, Kristin A.;Warner, Ruth H.;Pope, Anna R. D.
通讯作者：
Pope, Anna R. D.
DOI：
10.1136/amiajnl-2012-001472
发表时间：
2013-07
期刊：
Journal of the American Medical Informatics Association : JAMIA
影响因子：
--
作者：
Deutsch MB;Green J;Keatley J;Mayer G;Hastings J;Hall AM;World Professional Association for Transgender Health EMR Working Group
通讯作者：
World Professional Association for Transgender Health EMR Working Group