Who’s against migration? Towards a person-centred latent class typology of attitudes at the individual and country level in Europe
P13-3
Presented by: Silke Goubin
We analyse the changing attitudes of citizens towards migrants in Europe from a dynamic perspective, using multilevel latent class modelling. The goal of this paper is twofold: mapping changes in attitudes towards migration over time, and constructing a person-centred typology (instead of a variable-centred typology) that explains such trends.
Part one of our quantitative analyses corroborates the Group Conflict Theory (GCT), which postulates that intergroup competition influences the attitudes towards the representatives of the outgroup, such as ethnic minorities or immigrants (Blumer 1958). These perceptions are influenced not only by the structural position of the individual (i.e. socio-economic status) but also by the contextual factors, such as changes in economic situation or an influx of migrant population (Blalock 1967). Building on the dynamic version of GCT (Meuleman et al. 2009) and using all nine rounds of the European Social Survey (ESS) data, we will delineate the change in attitudes towards migrants and migration before, during, and after the refugee crisis of 2015-2016, covering the period from 2002 to 2018.
Second, we will investigate the typology of attitudes towards migrants and migration by applying multilevel latent class analysis (MLPA) to the ESS data (Meeusen et al., 2017). By applying the MLPA to the data from the two ESS modules focused on the attitudes towards migration and asylum policy, i.e. round 1 (2002-2003) and round 8 (2016-2017), we show that there has been a shift in attitudinal profiles at the individual and at the country level before and after the refugee crisis.
Part one of our quantitative analyses corroborates the Group Conflict Theory (GCT), which postulates that intergroup competition influences the attitudes towards the representatives of the outgroup, such as ethnic minorities or immigrants (Blumer 1958). These perceptions are influenced not only by the structural position of the individual (i.e. socio-economic status) but also by the contextual factors, such as changes in economic situation or an influx of migrant population (Blalock 1967). Building on the dynamic version of GCT (Meuleman et al. 2009) and using all nine rounds of the European Social Survey (ESS) data, we will delineate the change in attitudes towards migrants and migration before, during, and after the refugee crisis of 2015-2016, covering the period from 2002 to 2018.
Second, we will investigate the typology of attitudes towards migrants and migration by applying multilevel latent class analysis (MLPA) to the ESS data (Meeusen et al., 2017). By applying the MLPA to the data from the two ESS modules focused on the attitudes towards migration and asylum policy, i.e. round 1 (2002-2003) and round 8 (2016-2017), we show that there has been a shift in attitudinal profiles at the individual and at the country level before and after the refugee crisis.