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Ellie Oppenheim et al.
Analysis
Hypothesis i: more affiliative and less dominant interpersonal styles will be associated with more
positive attitudes towards stateless people, as measured by less-restrictive social policy attitudes and
lower prejudice towards stateless people.
Zero order correlations indicate no significant association between affiliative interpersonal
styles and either social policy attitudes towards stateless people (rs(354) = .049, p = .352) or
prejudice towards stateless people (rs(354) = −.006, p = .914). Dominant interpersonal styles also
showed no significant relationships to social policy attitude towards stateless people (rs(354) =
.103, p = .051) or prejudice towards stateless people (rs(354) = . 087, p = .101).
Hypothesis ii: more right-wing political orientation will be associated with more negative attitudes
towards stateless people, as measured by restrictive social policy attitudes and greater prejudice
towards stateless people.
Zero order correlations indicate a moderate to strong positive correlation between right-wing
political orientation and more restrictive social policy attitudes towards stateless people (rs(354) =
.590, p<.001), as well as higher prejudice towards stateless people (rs(354) = .518, p<.001).
In the Stateless Focal Network model, which controls for the influence of all other variables
except attitude measures towards refugees and asylum seekers, the partial correlations between these
variables were still significant, and right-wing political orientation remained directly associated with
more restrictive social policy attitudes towards stateless people (r =.230) and prejudice (r = .054).
Finally, in the Integrated Network model, which models the social policy attitudes and
prejudice towards stateless people, refugees, and asylum seekers in one network together, political
orientation was no longer directly associated with either social policy attitudes or prejudice
towards stateless people. Instead, more right-wing political orientation was directly associated
with greater perceived threat (r = .209), which then was indirectly associated with more restrictive
social policy attitudes and greater prejudice towards stateless people through prejudice and social
policy attitudes towards both asylum seekers and refugees.
Hypothesis iii: participants who have personal migration experience and/or previous contact with
stateless people, asylum seekers or refugees will show more positive attitudes towards stateless people,
as measured by less restrictive social policy attitudes and lower prejudice towards stateless people.
Zero order correlations showed no significant relationship between contact and social policy
attitudes towards stateless people (rs(354) = −.086, p = .105). In contrast, a significant zero order
correlation was found between contact and lower prejudice towards stateless people (rs(354) =
−.144, p<.010). Similarly, no significant relationship was found between personal migration
experience and social policy attitude towards stateless people (rs(354) = −.006, p = .230). However,
a significant association was found between personal migration experience and lower prejudice
towards stateless people (rs(354) = −.145, p<.010).
In the Stateless Focal Network model, personal migration experience remained associated with
prejudice towards stateless people (r = −.135). However, contact was no longer directly associated
with prejudice and was instead associated with perceived threat (r = .077, odds ratio: 1.112), which
was in turn associated with prejudice indirectly through other variables in the network.
In the Integrated Network model, the association between personal migration experience and
prejudice was no longer present and was instead indirectly associated through other variables in
the network. Contact remained associated with perceived threat (r = .321, odds ratio: 1.417) in the
Integrated Network model, which was then indirectly associated with social policy attitudes and
prejudice towards stateless people.
https://doi.org/10.1017/S147474642510119X Published online by Cambridge University Press