Fig 1.
Theoretical and analytical framework.
Notes: 1) GSEM: generalized structural equation modeling, O-SES: objective socioeconomic status, S-SES: subjective socioeconomic status, SWB: subjective wellbeing; 2) Solid lines are full sample analysis while dashed lines are subsample analysis.
Table 1.
Variable statistics description, full, migrants and local subsample sample.
Fig 2.
Notes: 1) GSEM: generalized structural equation modeling, O-SES: objective socioeconomic status, S-SES: subjective socioeconomic status, SWB: subjective wellbeing; 2) Solid lines are direct effects and dashed lines are indirect effects; 3) each IV was controlled for each O-SES and S-SES variable, while control variables were included across all analysis.
Table 2.
Stepwise GSEM estimation.
Table 3.
GSEM estimation for subsample analysis.
Fig 3.
The estimation results of GSEM for full sample.
Notes: 1) GSEM: generalized structural equation modeling, O-SES: objective socioeconomic status, S-SES: subjective socioeconomic status, SWB: subjective wellbeing; 2) Solid lines are direct effects and dashed lines are indirect effects; 3) IVs and control variables were included across all analysis, however, their estimated coefficients are omitted as not the focus on this study.
Table 4.
GSEM mediation analysis for S-SES, direct and indirect effects of O-SES on SWB.