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. 2022 Nov 23;13:1067184. doi: 10.3389/fpsyg.2022.1067184

Table 6.

Binary logistic regression analysis of influencing factors of overseas students’ choice of returning to China.

Dimensions variables B estimated value Wald value Sig OR value
Demography Gender Male 0 1
Female 0.688 5.382 0.020* 1.990
Marital status Single 0 1
In love 0.150 0.337 0.561 1.162
Married 0.059 0.010 0.920 1.061
Annual household income Less than 100,000 CNY 0 1
100,000 ~ 200,000 CNY −0.378 0.809 0.368 0.685
200,001 ~ 300,000CNY 0.012 0.001 0.978 1.012
300,001CNY and above 0.543 1.881 0.170 1.721
Length of study abroad half a year 0 1
a year −0.421 1.968 0.161 0.656
One and a half years −1.152 3.360 0.067 0.316
2 years −0.224 0.166 0.684 0.800
2 years and above 0.006 0.000 0.987 1.006
Survival rationality Life and Risk Factors in Foreign Countries Protective supplies reserve −0.339 4.560 0.033* 0.712
Daily necessities supply 0.402 7.302 0.007** 1.495
Collective life risk 0.033 0.064 0.800 1.034
Outgoing purchasing risk 0.191 1.594 0.207 1.210
Institutional rationality Policy control factors Foreign prevention and control policies 0.521 12.801 0.000*** 1.684
China’s prevention and control policies 0.071 0.236 0.627 1.074
Embassy assistance −0.155 1.223 0.269 0.856
Economic rationality Cost factors of returning home Transportation expenses −0.481 16.685 0.000*** 0.618
Return time cost −0.170 1.609 0.205 0.844
Isolation fee −0.354 7.613 0.006** 0.702
Development rationality Personal development factors Academic research progress −0.065 0.264 0.607 0.937
Graduation and job hunting 0.508 18.394 0.000*** 1.661
Mentor’s requirements and suggestions −0.049 0.271 0.602 0.953
Constant −3.410 16.684 0.000 0.033

The first classification independent variable in demographic variables is the reference group, so no value is displayed in the table. ***p < 0.001, **p < 0.01, and *p < 0.05.