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Table 5 Study 2. Stepwise models predicting national majority members’ threat perceptions at the individual level as dependent variables using ESS Round 9 from immigrant political participation at the cantonal level as independent variable using ESS 9

From: Immigrant political participation is associated with more positive majority immigration attitudes across European countries and Swiss cantons

 

Null model

L1 Model

L2 control

L2 model: participation (H1)

Political orientation interaction (H2)

Immigrant presence interaction (H3)

Individual level variables

Age

 

 − 0.01(0.00)*

 − 0.01(0.00)*

 − 0.01(0.00)†

 − 0.01(0.00)†

 − 0.01(0.00)

Gender

 

0.17(0.08)*

0.17(0.08)*

0.12(0.09)

0.13(0.11)

0.12(0.08)

Education

 

 − 0.05(0.01)***

 − 0.05(0.01)***

 − 0.05(0.01)***

 − 0.05(0.01)***

 − 0.05(0.01)***

Political orientation

 

0.28(0.02)***

0.28(0.02)***

0.27(0.02)***

0.26(0.02)***

0.27(0.03)***

Residual variance

2.78(0.13)***

2.37(0.11)***

2.38(0.12)***

2.37(0.11)***

2.36(0.11)***

2.37(0.12)***

Cantonal level variables

Immigrant %

  

 − 0.03(0.01)***

 − 0.03(0.01)***

 − 0.03(0.01)**

 − 0.03(0.01)***

Immigrant participation ESS

   

 − 0.58 (0.24)*

 − 0.62(0.26)*

 − 0.62(0.29)*

Immigrant participation ESS X political orientation

    

 − 0.19(0.11)†

 

Immigrant participation ESS X immigrant %

     

0.03(0.03)

Residual variance

0.14(0.06)*

0.08(0.02)*

0.01(0.02)

0.00(0.00)

0.00(0.04)

0.00(0.04)

Model fit

Nr of parameters

3

7

8

9

11

10

 − 2 loglikelihood

4096.50

3712.68

3701.84

3693.46

3689.01

3691.73

Akaike (AIC)

4102.51

3726.68

3717.84

3711.46

3711.01

3711.73

Bayesian (BIC)

4117.39

3761.02

3757.08

3755.61

3764.98

3760.79

Sample-size adjusted BIC

4107.86

3738.79

3731.68

3727.03

3730.04

3729.03

  1. p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001 (2-tailed). Gender: 0 = male, 1 = female in all the tables