scholarly journals Intersecting the Academic Gender Gap: The Education of Lesbian, Gay and Bisexual America

2021 ◽  
Author(s):  
Joel Mittleman

Although gender is central to contemporary accounts of educational stratification, sexuality has been largely invisible as a population-level axis of academic inequality. Taking advantage of major recent data expansions, the current study establishes sexuality as a core dimension of educational stratification in America. First, I analyze lesbian, gay and bisexual (LGB) adults’ college completion rates: overall, by race/ethnicity and by birth cohort. Then, using new data from the High School Longitudinal Survey of 2009, I analyze LGB students’ performance on a full range of achievement and attainment measures. Across analyses, I reveal two demographic facts. First, women’s rising academic advantages are largely confined to straight women: although lesbian women historically outpaced straight women, in contemporary cohorts, lesbian and bisexual women face significant academic disadvantages. Second, boys’ well-documented underperformance obscures one group with remarkably high levels of school success: gay boys. Given these facts, I propose that marginalization from hegemonic gender norms has important—but asymmetric—impacts on men and women’s academic success. To illustrate this point, I apply what I call a “gender predictive” approach, using supervised machine learning methods to uncover patterns of inequality otherwise obscured by the binary sex/gender measures typically available in population research.

2018 ◽  
Author(s):  
Bethany M Coston

Using data from the National Intimate Partner and Sexual Violence survey, this paper examines the relationship between sexuality and mental health outcomes in survivors of intimate partner violence. Findings indicate that heterosexual/straight women abused by women and bisexual women abused by women are significantly more likely to report current difficulty sleeping, while heterosexual/straight women abused by women and bisexual women abused by men are more likely to self-rate their overall mental health as poor (versus good or excellent). This is the first study using population-based data that takes into account all forms of violence and its impact on sexually diverse women—when we include psychological abuse and controlling tactics, the impact on mental health is worse than previously noted: around 80-90% of all women experience some form of anxiety, depression, intense fear, restlessness, nightmares, or stressors that impact their ability to work, go to school, and complete daily life activities.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 527-527
Author(s):  
Adena Galinsky ◽  
Karen Fredriksen Goldsen ◽  
James Dahlhamer ◽  
Tina Norris

Abstract Pain is not only a result of other health problems but an independent condition that can negatively impact quality of life. Lesbian, gay, and bisexual older adults report more pain compared to their straight counterparts when pain is measured in the aggregate (e.g. “one or more of the following types of pain”). However, scant national research has examined if specific types of pain vary by sexual orientation among older adults. Using 2015-2018 National Health Interview Survey (NHIS) data, we used logistic regression to separately model four types of pain among women 50+ and men 50+ (lesbian/gay women: n=377, bisexual women: n=142, straight women: n=33,216; gay men: n=508, bisexual men: n=115, straight men: n=25,998) as functions of sexual orientation, controlling for age, race, education, and income. Lesbian women and bisexual men were more likely (AOR=1.46, 95% CI:1.03, 2.08; AOR=2.95, 95% CI:1.08, 3.79, respectively), but bisexual women were less likely (AOR=0.6, 95% CI:0.33, 1.05), than their straight counterparts to have had a migraine or severe headache in the past three months. Bisexual men were also more likely than straight men to report lower back pain in the past three months (AOR=1.66, 95% CI: 1.02, 2.72). Sexual minority women were more likely than straight women to report joint pain in the past 30 days and lower back pain in the past three months. Future research may examine why the prevalence of specific types of pain vary by sexual orientation among older adults.


2017 ◽  
Vol 64 (5) ◽  
pp. 560-573 ◽  
Author(s):  
James S. Morandini ◽  
Alexander Blaszczynski ◽  
Daniel S. J. Costa ◽  
Alexandra Godwin ◽  
Ilan Dar-Nimrod

Author(s):  
Patricia Moreland ◽  
Rebecca White ◽  
Ellen D. B. Riggle ◽  
Darius Gishoma ◽  
Tonda L. Hughes

2020 ◽  
Vol 11 (1) ◽  
pp. 237
Author(s):  
Abdallah Namoun ◽  
Abdullah Alshanqiti

The prediction of student academic performance has drawn considerable attention in education. However, although the learning outcomes are believed to improve learning and teaching, prognosticating the attainment of student outcomes remains underexplored. A decade of research work conducted between 2010 and November 2020 was surveyed to present a fundamental understanding of the intelligent techniques used for the prediction of student performance, where academic success is strictly measured using student learning outcomes. The electronic bibliographic databases searched include ACM, IEEE Xplore, Google Scholar, Science Direct, Scopus, Springer, and Web of Science. Eventually, we synthesized and analyzed a total of 62 relevant papers with a focus on three perspectives, (1) the forms in which the learning outcomes are predicted, (2) the predictive analytics models developed to forecast student learning, and (3) the dominant factors impacting student outcomes. The best practices for conducting systematic literature reviews, e.g., PICO and PRISMA, were applied to synthesize and report the main results. The attainment of learning outcomes was measured mainly as performance class standings (i.e., ranks) and achievement scores (i.e., grades). Regression and supervised machine learning models were frequently employed to classify student performance. Finally, student online learning activities, term assessment grades, and student academic emotions were the most evident predictors of learning outcomes. We conclude the survey by highlighting some major research challenges and suggesting a summary of significant recommendations to motivate future works in this field.


2012 ◽  
Vol 102 (1) ◽  
pp. e9-e15 ◽  
Author(s):  
Hyun-Jun Kim ◽  
Karen I. Fredriksen-Goldsen

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