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ORIGINAL ARTICLE

Predicting community attitudes towards asylum seekers: A multi‐component model

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Pages 237-246 | Received 12 Oct 2015, Accepted 05 Oct 2016, Published online: 20 Nov 2020
 

Abstract

Objective

The current study investigated the role of cognitive, affective, and behavioural information in the prediction of overall attitudes towards asylum seekers.

Method

A sample of 98 Australian adults participated in an online self‐report questionnaire where participants generated their cognitive, affective, and behavioural factors towards asylum seekers and then rated those factors on a continuum from ‘positive’ to ‘negative’.

Results

Multiple regression analysis confirmed the primary role of cognitive, then affective, factors in predicting attitudes towards asylum seekers. Cognitive information accounted for a moderate, significant 31.92% of the variance in overall attitudes towards asylum seekers. The unique variance contributed by affective information accounted for a small but significant 3.46% of the variance in overall attitudes; the unique variance contributed by behavioural information was not significant.

Conclusions

The results provide a holistic theoretical basis for the assertion that community attitudes towards asylum seekers are based primarily on cognitive evaluations of the minority group. These findings have implications for changing community attitudes towards people seeking asylum in Australia.

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