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A mixture model to assess perception of discrimination on grounds of sexual orientation for policy considerations

机译:一种混合模型,以评估对政策考虑的性取向应对基础的看法

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摘要

The paper explores the relationships between subjective and contextual covariates as determinants of discrimination perception in a large sample survey. A modelling approach is implemented to detect the perception of discrimination on the ground of sexual orientation through expressed ratings, in a cross-country perspective. Exploiting the capabilities of a mixture model, which interprets ordinal evaluations as the combined results of two latent components, the cognitive process of selection among discrete ordered alternatives is discussed in terms of attractiveness towards the item and uncertainty in the response pattern. Gender, age and political orientation turn out to be significant variables at the individual level. Furthermore, the ILGA country score and education level, as contextual variables, exert prominent effects at country level. Empirical evidence from the Special Eurobarometer 2015 on Opinions as well as a simulation experiment support the usefulness of the approach.
机译:本文探讨了主观与上下文协变量的关系,作为大型样本调查中辨别性感知的决定因素。实施建模方法,以通过表达评级检测对性取向基础的看法,通过表达评级,在越野的视角下。利用混合模型的能力,将顺序评估解释为两个潜在部件的组合结果,在对项目的吸引力和响应模式中的不确定性方面讨论了离散有序替代方案的认知过程。性别,年龄和政治定位结果在个人层面上是重要的变量。此外,Ilga国家得分和教育水平,作为上下文变量,在国家一级发挥着突出的影响。来自特殊Eurobarometer 2015的经验证据在意见以及模拟实验支持方法的实用性。

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