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Table 2 Multilevel Regression Analyses of Identification with Europe

From: A multilevel analysis of factors influencing teenagers’ identification with Europe: the effects of migration and learning opportunities

Variable

Model 1

Model 2

Model 3

Model 4

Model 5

Level 1

Gender (1 = girl)

− .034

− .035

− 035

− .034

− .034

Socioeconomic status

− .014

− .014

− .013

− .014

− .013

Marginalised religion (1 = yes)

− .072*

− .074*

− .074*

− .073*

− .073*

Non-European immigration history (1 = yes)

− .176***

− .182***

− .182**

− .183***

− .182***

Learning about Europe

.179***

.186***

.186***

.186***

.186***

Learning regressed on immigration history

   

.015

 

Learning regressed on socio economic status

    

.062*

Indirect effect

   

.004

.008*

R2

.079

.085

.085

.085

.087

Level 2

Proportion of non-European immigration history students in class

 

− .455*

− .369

− .451*

− .363

Class perception of learning about Europe

 

.442*

.448*

.440*

.446*

Classroom SES

  

.296*

 

.301*

Learning regressed on proportion of non-European immigration histories in class

   

.040

 

Learning regressed on proportion of low SES students in class

    

− .057

Indirect effect

   

.011

− .005

R2

 

.380

.448

.381

.457

  1. *p < .05; **p < .01; ***p < .001; MLR estimator; all but the coefficients of the indirect effects are standardised; N = 1313–1318