Table 2.

Mean values (standard errors) of ascription of stereotypes towards someone with depression depending on respondents’ migration background and migration status in the depression vignette

Item	Non-migranta (n = 644–708)	Migrant born in Germanya (n = 58–62)	Migrant foreign borna (n = 98–101)	Results of analyses of variance (F, partial η2, p)
Ascription of stereotypesb The person in the vignette is…
…in need of help
Non-migrant vignette	3.30 (0.04)	3.62 (0.13)	3.35 (0.10)	F(2,429) = 2.772, η2 = 0.013, p = 0.064
Migrant vignette	3.32 (0.03)	3.55 (0.10)	3.45 (0.09)	F(2,469) = 2.846, η2 = 0.012, p = 0.059
…unpredictable
Non-migrant vignette	2.52 (0.05)	2.54 (0.16)	2.32 (0.13)	F(2,419) = 0.983, η2 = 0.005, p = 0.375
Migrant vignette	2.49 (0.05)	2.39 (0.15)	2.46 (0.09)	F(2,426) = 0.224, η2 = 0.001, p = 0.799
…scary
Non-migrant vignette	1.96 (0.05)	2.07 (0.15)	2.21 (0.12)	F(2,419) = 2.090, η2 = 0.010, p = 0.125
Migrant vignette	1.82 (0.04)	1.98 (0.12)	2.28 (0.11)c	F(2,452) = 8.179, η2 = 0.035, p < 0.001
…dangerous
Non-migrant vignette	1.97 (0.04)	2.26 (0.15)	1.77 (0.12)d	F(2,419) = 3.539, η2 = 0.017, p = 0.030
Migrant vignette	2.02 (0.04)	2.03 (0.12)	2.24 (0.12)	F(2,446) = 1.643, η2 = 0.007, p = 0.195
…brilliant
Non-migrant vignette	2.20 (0.05)	2.25 (0.16)	2.37 (0.13)	F(2,393) = 0.796, η2 = 0.004, p = 0.452
Migrant vignette	2.09 (0.04)	2.42 (0.13)c	2.07 (0.12)	F(2,420) = 3.212, η2 = 0.015, p = 0.041
…sensitive
Non-migrant vignette	3.33 (0.04)	3.60 (0.13)	3.40 (0.10)	F(2,426) = 2.091, η2 = 0.010, p = 0.215
Migrant vignette	3.34 (0.03)	3.53 (0.10)	3.34 (0.09)	F(2,465) = 1.694, η2 = 0.007, p = 0.185

^aMean values adjusted for gender, age and level of education; statistically significant results (p < 0.05) are italicized

^bAscription of stereotypes items ranging from 1 ‘totally disagree’ to 4 ‘totally agree’

^csignificantly different from non-migrant

^dsignificantly different from migrant born in Germany