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Table 2 Autoregressive cross-lagged panel analyses of immigrants’ labour market integration, inter-ethnic contact and high-position contact (standardised coefficients)

From: ‘With a little help from my educated friends’: revisiting the role of social capital for immigrants’ labour market integration in Germany

 

M1: Employment status

M2: Occupational status

M1a

M1b

M2a

M2b

Employment status

Employment status

Occupational status

Occupational status

Cross-lagged paths (β and β′′)

Inter-ethnic contactt0/t1 (β)

0.092 (0.031)*

0.094 (0.061)

0.921 (0.507)**

0.859 (0.548)

High-position contactt0/t1 ′′)

 

-0.010 (0.075)

 

1.760 (0.610)**

Autoregressive paths (α)

Labour market integration t0/t1

1.177 (0.142)***

1.143 (0.147)***

0.894 (0.047)***

0.866 (0.047)***

 

Inter-ethnic contact

Inter-ethnic contact

Inter-ethnic contact

Inter-ethnic contact

Cross-lagged paths (γ)

Labour market integrationt0/t1

0.370 (0.180)*

0.196 (0.119)

0.004 (0.005)

0.004 (0.006)

Autoregressive paths (α)

Inter-ethnic contactt0/t1

0.268 (0.077)***

0.243 (0.077)***

0.313 (0.071)***

0.327 (0.070)***

 

High-position contact

High-position contact

High-position contact

High-position contact

Cross-lagged paths (γ′′)

Labour market integrationt0/t1

 

-0.093 (0.143)

 

0.007 (0.003)*

Autoregressive paths (α′′)

High-position contactt0/t1

 

0.941 (0.091)***

 

0.288 (0.185)***

χ2 (df)

293.10 (106)***

420.56 (172)***

161.84 (106)***

199.11 (165)*

RMSEA

0.063

0.082

0.054

0.038

CFI

0.726

0.660

0.923

0.960

TLI

0.606

0.596

0.888

0.937

N

299

299

184

184

  1. p < .1; *p < .05; **p < .01; ***p < .001; all models additionally control for work experience, education, length of stay, gender, partner, children, country of birth, German language competency, social activities, ethnic residential segregation (not shown); SEs in parentheses
  2. Source: SOEP (2006, 2010, and 2016), own calculations