Unveiling Implicit Attitudes Towards the Transgender Community: Exploring the Impact of Level of Religiosity on Bias

Yi Tian
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Abstract

Prior research showed a potential link between religiosity and negative attitudes toward various marginalized populations, which raises the question of the impact of religiosity on implicit bias toward transgender individuals. The principal purpose of this study was to examine whether there was a significant relationship between religiosity and implicit bias toward transgender individuals. To address this research question, a diverse sample of participants was recruited and data was collected through surveys and assessments. After data collection, the collected data was subjected to rigorous statistical analyses to explore the potential link between religiosity and implicit bias toward transgender individuals. The correlation between religiosity and implicit bias was 16% (95% CI = 15% to 16%). To examine this relationship, a linear regression model was employed, with religiosity levels as the independent variable and implicit bias scores as the dependent variable. Furthermore, the statistical analyses involved controlling for potential confounding variables, such as age and political ideology, to ensure that the observed relationship between religiosity and implicit bias was not influenced by other factors. Key statistical parameters were generated through regression analyses, including beta coefficients, P-values, and R-squared values, which provided important information about the strength and significance of the association between religiosity and implicit bias.
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揭示对变性人群体的隐性态度:探索宗教信仰程度对偏见的影响
先前的研究表明,宗教信仰与对各种边缘化人群的负面态度之间存在潜在联系,这就提出了宗教信仰对变性人内隐偏见的影响问题。本研究的主要目的是探讨宗教信仰与对变性人的内隐偏见之间是否存在显著关系。为了解决这个研究问题,我们招募了不同的参与者样本,并通过调查和评估收集数据。数据收集后,对收集到的数据进行了严格的统计分析,以探讨宗教信仰与对变性人的内隐偏见之间的潜在联系。宗教信仰与隐性偏见之间的相关性为 16%(95% CI = 15%至 16%)。为了研究这种关系,我们采用了一个线性回归模型,将宗教信仰水平作为自变量,将内隐偏见分数作为因变量。此外,统计分析还包括控制潜在的混杂变量,如年龄和政治意识形态,以确保观察到的宗教信仰与内隐偏见之间的关系不受其他因素的影响。通过回归分析得出了关键的统计参数,包括贝塔系数、P 值和 R 平方值,这些参数提供了有关宗教信仰与内隐偏见之间关联的强度和重要性的重要信息。
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