Immigration and Asylum Reform dataset

Published: 28 October 2018| Version 1 | DOI: 10.17632/7xvg83bs5k.1
Contributor:
Jesse Acosta

Description

Goals and Hypotheses: This dataset was used to analyze the relationship of social cognition (need for cognition, faith in intuition) and political ideology (economic and social conservatism) on attitudes toward immigration and asylum reform. We hypothesized that need for cognition and faith in intuition would directly and indirectly predict supportive attitudes toward immigration reform by decreasing and increasing identities as social conservatives, but not as economic conservatives. In contrast, need for cognition and faith in intuition will only directly predict attitudes toward asylum reform, but not indirectly by influencing social and economic conservative identities. Dataset and Analytic information: The dataset is part of a larger survey on legal attitudes. The data was collected in 2016 on students from a mid-west university in the U.S.

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Steps to reproduce

The data was analyzed using the R statistical package (through R-studio). The analysis included a parallel mediation model, with need for cognition and faith in intuition serving as the primary independent variables, social and economic conservatism serving as the mediating variables, and attitudes toward immigration and asylum seekers as the dependent measure.