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Garvey, Jason C.; Hart, Jeni; Metcalfe, Amy Scott; Fellabaum-Toston, Jennifer – Review of Higher Education, 2019
We examine the American landscape of higher education quantitative research concerning how gender and sex demographic information is collected. We use a directed content analysis to examine the prevalence and operationalization of gender and sex among widely used higher education survey instruments. Our findings illuminate a seemingly haphazard…
Descriptors: Research Problems, Educational Research, Higher Education, Data Collection
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Garvey, Jason C. – Journal of College Student Development, 2019
To promote inclusivity in quantitative research about lesbian, gay, bisexual, and queer (LGBQ) students, scholars must first understand how sexual orientation data are collected in higher education survey research (Garvey, 2014; Rankin & Garvey, 2015). There is one research question that guides this study: How is sexual orientation demographic…
Descriptors: College Students, Sexual Orientation, LGBTQ People, Student Surveys
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Rosenberg, Mark B., Ed.; Hilton, Margaret L., Ed.; Dibner, Kenne A., Ed. – National Academies Press, 2018
Science, technology, engineering and mathematics (STEM) professionals generate a stream of scientific discoveries and technological innovations that fuel job creation and national economic growth. Ensuring a robust supply of these professionals is critical for sustaining growth and creating jobs growth at a time of intense global competition.…
Descriptors: Educational Indicators, Progress Monitoring, Undergraduate Students, STEM Education
Hahs-Vaughn, Debbie L. – Association for Institutional Research (NJ1), 2006
Federal agencies conduct large, national studies that provide abundant data easily accessible to researchers. While these datasets provide access to rich data for analyzing a multitude of topics, certain skills are necessary for appropriate use. Specifically, over sampling and multistage cluster sampling must be accommodated in the analyses to…
Descriptors: Educational Research, Sampling, Data, Statistical Analysis