| Literature DB >> 28190933 |
Daphna Canetti1, Keren L G Snider1, Anne Pedersen2, Brian J Hall3.
Abstract
Can different political ideologies explain policy preferences regarding asylum seekers? We focus on attitudes regarding governmental policy towards out-group members and suggest that perceptions of threat help to shape these policy attitudes. Study 1 compared public opinion regarding asylum policy in Israel (N = 137) and Australia (N = 138), two countries with restrictive asylum policies and who host a large number of asylum seekers; Study 2, a longitudinal study, was conducted during two different time periods in Israel-before and during the Gaza conflict. Results of both studies showed that threat perceptions of out-group members drive the relationship between conservative political ideologies and support for exclusionary asylum policies among citizens. Perceptions of threat held by members of the host country (the in-group) towards asylum seekers (the out-group) may influence policy formation. The effect of these out-groups threats needs to be critically weighed when considering Israeli and Australian policies towards asylum seekers.Entities:
Keywords: Asylum policy; conflict; perception of threats
Year: 2016 PMID: 28190933 PMCID: PMC5287414 DOI: 10.1093/jrs/few012
Source DB: PubMed Journal: J Refug Stud ISSN: 0951-6328
Figure 2Range of missiles launched from Gaza Strip.
Characteristics of Study 1 versus Study2
| Study 2 | Study 1 |
|---|---|
| Two samples: Before and during Operation Protective Edge (both Tel Aviv, Israel) | Two samples: Perth, Australia, and Tel Aviv, Israel |
| Panel design | Cross-sectional design |
| Data collection: March 2014 (Wave 1), August 2014 (Wave 2) | Data collection: 2010 (Australia), 2014 (Israel) |
| N = 94 (final sample for both waves) | N = 274 (138 in Australia and 137 in Israel) |
| High internal validity | High external validity |
Means, Standard Deviations and Intercorrelations among Study Variables (Study 1)
| M | SD | 1 | 2 | 3 | 4 | 5 | ||
| 1. | Political ideology 1 = right to 3 = left | 2.10 | 0.79 | 1.00 | ||||
| 2.40 | 0.79 | 1.00 | ||||||
| 2. | Threat perception | 4.10 | 1.05 | – | 1.00 | |||
| 3.52 | 1.46 | 0.48 | 1.00 | |||||
| – | ||||||||
| 0.46 | ||||||||
| 3. | Policy attitude | 3.84 | 1.85 | – | 0.60 | 1.00 | ||
| 3.90 | 2.12 | 0.57 | 0.74 | 1.00 | ||||
| – | ||||||||
| 0.50 | ||||||||
| 4. | Age | 34.57 | 8.47 | 0.09 | –0.08 | –0.16 | 1.00 | |
| 40.56 | 14.03 | 0.12 | 0.08 | –0.05 | 1.00 | |||
| 5. | Gender (female) | 1.49 | 0.50 | –0.19 | 0.14 | 0.02 | 0.09 | 1.00 |
| 1.40 | 0.49 | –0.08 | 0.00 | 0.07 | 0.01 | 1.00 |
p < 0.05;
p < 0.01;
p < 0.0001. First row = Israel, second row = Australia.
Mediation Effect of Threat Perceptions on the Relationship between Political Ideology and Policy Attitudes (Study 1)
| SE | B | |||
|---|---|---|---|---|
| Threat perception | ||||
| 0.10 | –0.63 | Political ideology | ||
| 0.14 | –0.87 | |||
| Policy attitude | ||||
| 0.12 | 0.74 | Threat perception | ||
| 0.09 | 0.94 | |||
| 0.17 | –0.91 | Political ideology | ||
| 0.17 | –0.50* | |||
| Bootstrap results for mediation effects; 95% confidence interval (CI) | ||||
| Upper | Lower | SE | B | Mediation effect: threat perception |
| –0.28 | –0.70 | 0.10 | –0.47 | Indirect effect of X on Y |
| –0.51 | –0.1.17 | 0.17 | –0.82 | |
p < 0.05;
p < 0.01;
p < 0.0001. First row = Israel, second row = Australia.
Figure 3Structural model for Israeli sample (Study 1).
Figure 4Structural model for Australian sample (Study 1).
Means, Standard Deviations, and Intercorrelations of Political Ideology, Threat Perceptions, Policy Attitudes, and Control Variables (Study 2)
| M | SD | 1 | 2 | 3 | 4 | 5 | |||
|---|---|---|---|---|---|---|---|---|---|
| 1. | Political ideology 1 = right to 3 = left | 2.10 | 0.80 | 1.00 | |||||
| 2.11 | 0.80 | 1.00 | |||||||
| 2. | Threat perception | 4.20 | 1.06 | – | 1.00 | ||||
| 4.20 | 1.46 | 0.48 | 1.00 | ||||||
| – | |||||||||
| 0.50 | |||||||||
| 3. | Policy attitude | 4.20 | 1.00 | – | 0.62 | 1.00 | |||
| 4.06 | 1.00 | 0.54 | * | 1.00 | |||||
| – | 0.65 | ||||||||
| 0.54 | * | ||||||||
| 4. | Age | 34.46 | 8.46 | 0.08 | –0.05 | –0.02 | 1.00 | ||
| 34.46 | 8.45 | 0.02 | –0.04 | 0.05 | 1.00 | ||||
| 5. | Gender (female) | 1.51 | 0.50 | 0.20* | –0.14 | –0.10 | 0.09 | 1.00 | |
| 1.51 | 0.50 | –0.03 | –0.17 | –0.10 | –0.10 | 1.00 |
p < 0.05;
p < 0.01;
p < 0.0001. First row = March 2014, N = 137; second row = August 2014, N = 93.
Figure 5Structural model for March 2014 sample (Study 2).
Figure 6Structural model for August 2014 sample (Study 2).
Mediation Effect of Threat Perceptions on the Relationship between Political Ideology and Policy Attitudes (Study 2)
| SE | B | |||
|---|---|---|---|---|
| Threat perception | ||||
| 0.11 | –0.64 | Political ideology | ||
| 0.12 | –0.68 | |||
| Policy attitude | ||||
| 0.08 | 0.44 | Threat perception | ||
| 0.08 | 0.45 | |||
| 0.09 | –0.39 | Political ideology | ||
| 0.11 | –0.36 | |||
| Bootstrap results for mediation effects; 95% confidence interval (CI) | ||||
| Upper | Lower | SE | B | Mediation effect: threat perception |
| –0.18 | –0.43 | 0.06 | –0.28 | Indirect effect of X on Y |
| –0.15 | –0.48 | 0.08 | –0.31 | |
p < 0.05
p < 0.01
p < 0.0001. First row = March 2014, second row = August 2014.
Mediation Effect of Threat Perceptions on the Relationship between Political Ideology and Policy Attitudes (Study 2)
| SE | B | |||
|---|---|---|---|---|
| Threat perceptions | ||||
| 0.09 | –0.80 | Political ideology | ||
| Policy attitudes | ||||
| 0.08 | 0.83 | Threat perceptions | ||
| 0.12 | –0.71 | Political ideology | ||
| 0.17 | 0.80 | Country | ||
| 0.16 | 0.20 | Int _1 | ||
| 0.24 | 0.36 | Int_2 | ||
| Bootstrap results for mediation effects; 95% confidence interval (CI) | ||||
| Upper | Lower | SE | B | Mediation effect: threat perceptions |
| –0.36 | –0.80 | 0.17 | –0.88 | Indirect effect of X on Y |
| –0.53 | –0.98 | 0.17 | –0.53 | |
p < 0.05
p < 0.01
p < 0.0001. First row = Israel, second row = Australia.