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

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 cogni...

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Main Authors: Croucamp, C., O'Connor, Moira, Pedersen, A., Breen, L.
Format: Journal Article
Published: John Wiley & Sons Ltd. 2016
Online Access:http://hdl.handle.net/20.500.11937/15556
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author Croucamp, C.
O'Connor, Moira
Pedersen, A.
Breen, L.
author_facet Croucamp, C.
O'Connor, Moira
Pedersen, A.
Breen, L.
author_sort Croucamp, C.
building Curtin Institutional Repository
collection Online Access
description 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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spelling curtin-20.500.11937-155562018-01-15T00:33:21Z Predicting community attitudes towards asylum seekers: A multi-component model Croucamp, C. O'Connor, Moira Pedersen, A. Breen, L. 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. 2016 Journal Article http://hdl.handle.net/20.500.11937/15556 10.1111/ajpy.12149 John Wiley & Sons Ltd. restricted
spellingShingle Croucamp, C.
O'Connor, Moira
Pedersen, A.
Breen, L.
Predicting community attitudes towards asylum seekers: A multi-component model
title Predicting community attitudes towards asylum seekers: A multi-component model
title_full Predicting community attitudes towards asylum seekers: A multi-component model
title_fullStr Predicting community attitudes towards asylum seekers: A multi-component model
title_full_unstemmed Predicting community attitudes towards asylum seekers: A multi-component model
title_short Predicting community attitudes towards asylum seekers: A multi-component model
title_sort predicting community attitudes towards asylum seekers: a multi-component model
url http://hdl.handle.net/20.500.11937/15556