Figures & data
Table 1. Factor analyses.
Figure 2. Path analysis with unstandardised estimates and bootstrapped standard errors.
Note: N = 790; Error covariance of resistance and disengagement and of status and moral-democratic identity threats are not depicted. Non-significant paths tested in the final model are represented by broken lines. Ethnic group (1 = Middle Eastern Muslim, 0 = Vietnamese); Gender (1 = female, 0 = male); Police contact (1 = police contact in past 2 years, 0 = no police contact). Coefficients calculated with bootstrapped standard errors (1000 replications). Significance levels shown here are for the unstandardised solution ***p ≤ .001; **p ≤ .01; *p ≤ .05. Coefficients are rounded to 2 decimal places.
![Figure 2. Path analysis with unstandardised estimates and bootstrapped standard errors.Note: N = 790; Error covariance of resistance and disengagement and of status and moral-democratic identity threats are not depicted. Non-significant paths tested in the final model are represented by broken lines. Ethnic group (1 = Middle Eastern Muslim, 0 = Vietnamese); Gender (1 = female, 0 = male); Police contact (1 = police contact in past 2 years, 0 = no police contact). Coefficients calculated with bootstrapped standard errors (1000 replications). Significance levels shown here are for the unstandardised solution ***p ≤ .001; **p ≤ .01; *p ≤ .05. Coefficients are rounded to 2 decimal places.](/cms/asset/b149df19-66ca-499b-bac3-deba5d6b4529/gpas_a_2200251_f0002_ob.jpg)
Table 2. Pearson’s correlation coefficients.
Table 3. Goodness-of-fit statistics.
Table 4. Path analysis direct, indirect and total effects, unstandardised coefficients.
Table 5. Partitioning indirect effects for key pathways, unstandardised coefficients.