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

Cameron J. CroucampSchool of Psychology and Speech Pathology, Faculty of Health Sciences, Curtin University,

Moira O'connorSchool of Psychology and Speech Pathology, Faculty of Health Sciences, Curtin University,

Anne PedersenCentre for Human Rights Education, Curtin University, Perth, Western Australia, Australia,

Lauren J. BreenSchool of Psychology and Speech Pathology, Faculty of Health Sciences, Curtin University, Correspondence[email protected]

Figures & data

Table 1. Community beliefs, emotions, and behaviours in relation to asylum seekers

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Table 2. Descriptive statistics and spearman's rho correlation showing relationships between overall attitude and each of the predictors

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Table 3. Unstandardised (B) and standardised (β) regression coefficients and squared semi‐partial correlations (sr²) for each predictor variable in a regression model predicting attitudes towards asylum seekers (N = 98)

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

Table 1. Community beliefs, emotions, and behaviours in relation to asylum seekers

Table 2. Descriptive statistics and spearman's rho correlation showing relationships between overall attitude and each of the predictors

Table 3. Unstandardised (B) and standardised (β) regression coefficients and squared semi‐partial correlations (sr²) for each predictor variable in a regression model predicting attitudes towards asylum seekers (N = 98)

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

Figures & data

Table 1. Community beliefs, emotions, and behaviours in relation to asylum seekers

Table 2. Descriptive statistics and spearman's rho correlation showing relationships between overall attitude and each of the predictors

Table 3. Unstandardised (B) and standardised (β) regression coefficients and squared semi‐partial correlations (sr2) for each predictor variable in a regression model predicting attitudes towards asylum seekers (N = 98)

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Table 3. Unstandardised (B) and standardised (β) regression coefficients and squared semi‐partial correlations (sr²) for each predictor variable in a regression model predicting attitudes towards asylum seekers (N = 98)