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Table 4 Study 1. Stepwise models predicting national majority members’ immigration policy preferences at the individual level as dependent variables using ESS Round 8 or 9 from immigrant political participation at the country level as independent variable using ESS Round 8 and 9

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

 

Null model

L1 model

Level 2 control

Immigrant 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

 

 − 0.04(0.01)***

 − 0.04(0.01)***

 − 0.04(0.01)***

 − 0.03(0.01)**

 − 0.04(0.01)***

Education

 

 − 0.02(0.00)***

 − 0.02(0.00)***

 − 0.02(0.00)***

 − 0.02(0.00)***

 − 0.02(0.00)***

Political orientation

 

0.05(0.01)***

0.05(0.01)***

0.05(0.01)***

0.05(0.01)***

0.05(0.01)***

Residual variance

0.57(0.03)***

0.50(0.02)***

0.50(0.02)***

0.50(0.02)***

0.49(0.02)***

0.50(0.02)***

Country level variables

Immigrant %

  

 − 0.02 (0.01)*

 − 0.01(0.01)**

 − 0.01(0.01)*

 − 00.02 (00.01)*

Immigrant participation ESS

   

 − 0.46(0.06)***

 − 0.47(0.06)***

 − 0.46(0.06)***

Immigrant participation ESS X

Political orientation

    

0.03(0.01)*

 

Immigrant participation ESS X

Immigrant %

     

 − 0.02 (0.01)

Residual Variance

0.13(0.03)***

0.12(0.03)***

0.10 (0.02)***

0.04(0.01)***

0.04(0.01)***

0.04(0.01)***

Model fit

Nr of parameters

3

7

8

9

11

10

 − 2 loglikelihood

97,305.49

78,574.21

78,569.2

78,545.52

77,839.97

78,544.24

Akaike (AIC)

97,311.49

78,588.21

78,585.19

78,563.52

77,861.97

78,564.25

Bayesian (BIC)

97,337.47

78,647.75

78,653.24

78,640.07

77,955.53

78,649.30

Sample-size adjusted BIC

97,327.94

78,625.50

78,627.81

78,611.47

77,929.57

78,617.52

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