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The role of perceived threat in Australians’ endorsement of asylum-seeker policies

Published online by Cambridge University Press:  05 June 2019

Emily Pattison*
Affiliation:
School of Health and Life Sciences (Psychology), Federation University Australia, Victoria, Australia
Graham R. Davidson
Affiliation:
School of Health and Life Sciences (Psychology), Federation University Australia, Victoria, Australia
*
Author for correspondence: Emily Pattison, Email: emilyclairepattison@gmail.com

Abstract

Australia’s treatment of asylum seekers continues to polarise public debate. The present study sought to investigate the factors that may influence an individual’s endorsement of deterrence-based government policies. Using the integrated threat theory of prejudice, the present study examined the role of perceived threat in shaping Australian voters’ political attitudes toward asylum seekers. A total of 255 Australian citizens completed an online questionnaire that assessed their support for aspects of government policy and their perceptions of asylum seekers as a threat. Hierarchical multiple regression analyses were used to examine the combined and unique influences of perceived threat and sociodemographic factors on overall and individual government policy endorsement. Results indicated that various types of threat (realistic, symbolic, and negative stereotypes) were significant predictors of policy support. Practical implications regarding the development of anti-discriminatory strategies and directions for future research are discussed.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s) 2019
Figure 0

Table 1. Means, standard deviations, and correlation matrix of variables

Figure 1

Table 2. Model summary of hierarchical regression analysis predicting total policy endorsement

Figure 2

Table 3. Summary of hierarchical regression analysis for variables predicting total policy endorsement