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Cross-national Features: Network Analysis of Attitudes Towards Immigrants

机译:跨国特征:对移民态度的网络分析

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This study identifies important determinants of attitudes towards immigrants and differences amongst 52 countries, including non-Western and developing countries, using a signed and weighted bipartite network. Projecting this network into two one-mode projections allows for a comparison of how countries differ in their determinants of attitudes and delineates the relationships amongst determinants. This study finds that countries with more positive attitudes tend to have smaller migrant populations, lower incomes, higher post-nationalist identity, and higher prejudice towards homosexuality; however, a significant amount of cognitive dissonance is present in the formation of attitudes.
机译:本研究确定了使用签名和加权二分网络的52个国家,包括非西方和发展中国家在内的移民和差异的重要决定因素。 将该网络投射到两个单模预测中,允许各国在其态度的决定因素中不同的比较,并描绘了决定簇之间的关系。 本研究发现,具有更积极的态度的国家往往具有较小的移民人口,降低收入,较高的民族主义的身份,更高的同性恋的偏见; 然而,在态度的形成中存在显着的认知不分散。

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