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What Predicts Attitudes toward Transgender and Nonbinary People? An Exploration of Gender, Authoritarianism, Social Dominance, and Gender Ideology
Sex Roles ( IF 3.0 ) Pub Date : 2021-01-05 , DOI: 10.1007/s11199-020-01212-3
Haley Perez-Arche , Deborah J. Miller

Transgender and nonbinary (TGNB) people face discrimination based on negative societal attitudes toward TGNB identities. Our study explored factors contributing to negative TGNB attitudes, including participants’ gender, age, religion, right-wing authoritarianism (RWA), social dominance orientation (SDO), and adherence to traditional gender ideologies. Our sample of 808 U.S. Mechanical Turk participants completed measures of RWA, SDO, traditional masculinity and femininity, and transgender attitudes and beliefs. Because TGNB people have diverse identities, we modified the transgender attitudes and beliefs scale to measure attitudes toward trans man, trans woman, and nonbinary targets instead of the single “transgender” umbrella. Results of multiple regression analyses indicated that gender was a significant predictor of attitudes toward trans men and trans women. Higher levels of RWA, traditional masculinity, and anti-egalitarianism (a domain of SDO) predicted negative attitudes toward all TGNB identities, with RWA generally being the strongest predictor. Traditional femininity and the dominance domain of SDO did not significantly contribute to our predictive model for most groups, although we were surprised to find that for nonbinary people, higher levels of traditional femininity predicted positive attitudes. These results can inform targeted interventions aimed at reducing transprejudice.



中文翻译:

什么预测对跨性别者和非二元性人的态度?性别、威权主义、社会支配和性别意识形态的探索

跨性别和非二元 (TGNB) 人面临基于对 TGNB 身份的负面社会态度的歧视。我们的研究探讨了导致 TGNB 消极态度的因素,包括参与者的性别、年龄、宗教、右翼威权主义 (RWA)、社会支配倾向 (SDO) 以及对传统性别意识形态的坚持。我们的 808 名美国机械土耳其人样本完成了对 RWA、SDO、传统男性气质和女性气质以及跨性别态度和信仰的测量。由于 TGNB 人群具有不同的身份,我们修改了跨性别态度和信念量表来衡量对跨性别男性、跨性别女性和非二元目标的态度,而不是单一的“跨性别”保护伞。多元回归分析的结果表明,性别是对跨性别男性和跨性别女性态度的重要预测因素。较高水平的 RWA、传统男子气概和反平等主义(SDO 的一个领域)预测了对所有 TGNB 身份的负面态度,其中 RWA 通常是最强的预测因素。传统女性气质和 SDO 的优势领域对我们大多数群体的预测模型没有显着贡献,尽管我们惊讶地发现,对于非二元人群,更高水平的传统女性气质预测了积极的态度。这些结果可以为旨在减少跨性别偏见的有针对性的干预措施提供信息。RWA 通常是最强的预测因子。传统女性气质和 SDO 的优势领域对我们大多数群体的预测模型没有显着贡献,尽管我们惊讶地发现,对于非二元人群,更高水平的传统女性气质预测了积极的态度。这些结果可以为旨在减少跨性别偏见的有针对性的干预措施提供信息。RWA 通常是最强的预测因子。传统女性气质和 SDO 的优势领域对我们大多数群体的预测模型没有显着贡献,尽管我们惊讶地发现,对于非二元人群,更高水平的传统女性气质预测了积极的态度。这些结果可以为旨在减少跨性别偏见的有针对性的干预措施提供信息。

更新日期:2021-01-05
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