| Regression Parameters | |||||||||
| term | coef | Wald(0) | df | p-value | |||||
| Cluster(1) | <- | 1 | 0,0000 | 10,7665 | 6 | 0,096 | |||
| Cluster(2) | <- | 1 | -0,4068 | ||||||
| Cluster(3) | <- | 1 | 0,0575 | ||||||
| Cluster(4) | <- | 1 | -0,5456 | ||||||
| Cluster(5) | <- | 1 | -4,2824 | ||||||
| Cluster(6) | <- | 1 | 0,0400 | ||||||
| Cluster(7) | <- | 1 | 0,4644 | ||||||
| Cluster(1) | <- | Agegroup_3r(1) | 0,0000 | 24,7925 | 12 | 0,016 | |||
| Cluster(2) | <- | Agegroup_3r(1) | 0,0000 | ||||||
| Cluster(3) | <- | Agegroup_3r(1) | 0,0000 | ||||||
| Cluster(4) | <- | Agegroup_3r(1) | 0,0000 | ||||||
| Cluster(5) | <- | Agegroup_3r(1) | 0,0000 | ||||||
| Cluster(6) | <- | Agegroup_3r(1) | 0,0000 | ||||||
| Cluster(7) | <- | Agegroup_3r(1) | 0,0000 | ||||||
| Cluster(1) | <- | Agegroup_3r(2) | 0,0000 | ||||||
| Cluster(2) | <- | Agegroup_3r(2) | -0,0566 | ||||||
| Cluster(3) | <- | Agegroup_3r(2) | 0,1573 | ||||||
| Cluster(4) | <- | Agegroup_3r(2) | 0,4371 | ||||||
| Cluster(5) | <- | Agegroup_3r(2) | 0,3264 | ||||||
| Cluster(6) | <- | Agegroup_3r(2) | 0,3938 | ||||||
| Cluster(7) | <- | Agegroup_3r(2) | -0,2372 | ||||||
| Cluster(1) | <- | Agegroup_3r(3) | 0,0000 | ||||||
| Cluster(2) | <- | Agegroup_3r(3) | -0,1179 | ||||||
| Cluster(3) | <- | Agegroup_3r(3) | 0,4587 | ||||||
| Cluster(4) | <- | Agegroup_3r(3) | 0,2519 | ||||||
| Cluster(5) | <- | Agegroup_3r(3) | 1,3808 | ||||||
| Cluster(6) | <- | Agegroup_3r(3) | 0,4792 | ||||||
| Cluster(7) | <- | Agegroup_3r(3) | 0,5236 | ||||||
| Cluster(1) | <- | GESLACHT(Man) | 0,0000 | 29,9653 | 6 | 4,0e-5 | |||
| Cluster(2) | <- | GESLACHT(Man) | 0,0000 | ||||||
| Cluster(3) | <- | GESLACHT(Man) | 0,0000 | ||||||
| Cluster(4) | <- | GESLACHT(Man) | 0,0000 | ||||||
| Cluster(5) | <- | GESLACHT(Man) | 0,0000 | ||||||
| Cluster(6) | <- | GESLACHT(Man) | 0,0000 | ||||||
| Cluster(7) | <- | GESLACHT(Man) | 0,0000 | ||||||
| Cluster(1) | <- | GESLACHT(Woman) | 0,0000 | ||||||
| Cluster(2) | <- | GESLACHT(Woman) | -0,2743 | ||||||
| Cluster(3) | <- | GESLACHT(Woman) | 0,1769 | ||||||
| Cluster(4) | <- | GESLACHT(Woman) | -0,5362 | ||||||
| Cluster(5) | <- | GESLACHT(Woman) | 0,8538 | ||||||
| Cluster(6) | <- | GESLACHT(Woman) | -0,5163 | ||||||
| Cluster(7) | <- | GESLACHT(Woman) | -0,5678 | ||||||
| Cluster(1) | <- | Education_level(Low education) | 0,0000 | 147,7902 | 12 | 1,6e-25 | |||
| Cluster(2) | <- | Education_level(Low education) | 0,0000 | ||||||
| Cluster(3) | <- | Education_level(Low education) | 0,0000 | ||||||
| Cluster(4) | <- | Education_level(Low education) | 0,0000 | ||||||
| Cluster(5) | <- | Education_level(Low education) | 0,0000 | ||||||
| Cluster(6) | <- | Education_level(Low education) | 0,0000 | ||||||
| Cluster(7) | <- | Education_level(Low education) | 0,0000 | ||||||
| Cluster(1) | <- | Education_level(Middle education) | 0,0000 | ||||||
| Cluster(2) | <- | Education_level(Middle education) | 0,9578 | ||||||
| Cluster(3) | <- | Education_level(Middle education) | 0,9599 | ||||||
| Cluster(4) | <- | Education_level(Middle education) | 0,0930 | ||||||
| Cluster(5) | <- | Education_level(Middle education) | 0,5776 | ||||||
| Cluster(6) | <- | Education_level(Middle education) | 0,3633 | ||||||
| Cluster(7) | <- | Education_level(Middle education) | -0,4948 | ||||||
| Cluster(1) | <- | Education_level(High education) | 0,0000 | ||||||
| Cluster(2) | <- | Education_level(High education) | 2,0386 | ||||||
| Cluster(3) | <- | Education_level(High education) | 1,7041 | ||||||
| Cluster(4) | <- | Education_level(High education) | 1,0101 | ||||||
| Cluster(5) | <- | Education_level(High education) | 0,6613 | ||||||
| Cluster(6) | <- | Education_level(High education) | 2,0077 | ||||||
| Cluster(7) | <- | Education_level(High education) | -0,9243 | ||||||
| Cluster(1) | <- | hh_3r_urbanity(High) | 0,0000 | 19,6521 | 12 | 0,074 | |||
| Cluster(2) | <- | hh_3r_urbanity(High) | 0,0000 | ||||||
| Cluster(3) | <- | hh_3r_urbanity(High) | 0,0000 | ||||||
| Cluster(4) | <- | hh_3r_urbanity(High) | 0,0000 | ||||||
| Cluster(5) | <- | hh_3r_urbanity(High) | 0,0000 | ||||||
| Cluster(6) | <- | hh_3r_urbanity(High) | 0,0000 | ||||||
| Cluster(7) | <- | hh_3r_urbanity(High) | 0,0000 | ||||||
| Cluster(1) | <- | hh_3r_urbanity(Medium) | 0,0000 | ||||||
| Cluster(2) | <- | hh_3r_urbanity(Medium) | -0,1418 | ||||||
| Cluster(3) | <- | hh_3r_urbanity(Medium) | 0,0802 | ||||||
| Cluster(4) | <- | hh_3r_urbanity(Medium) | 0,0367 | ||||||
| Cluster(5) | <- | hh_3r_urbanity(Medium) | 0,4744 | ||||||
| Cluster(6) | <- | hh_3r_urbanity(Medium) | 0,1002 | ||||||
| Cluster(7) | <- | hh_3r_urbanity(Medium) | -1,2850 | ||||||
| Cluster(1) | <- | hh_3r_urbanity(Low) | 0,0000 | ||||||
| Cluster(2) | <- | hh_3r_urbanity(Low) | -0,4191 | ||||||
| Cluster(3) | <- | hh_3r_urbanity(Low) | -0,1412 | ||||||
| Cluster(4) | <- | hh_3r_urbanity(Low) | -0,0087 | ||||||
| Cluster(5) | <- | hh_3r_urbanity(Low) | -0,4940 | ||||||
| Cluster(6) | <- | hh_3r_urbanity(Low) | -0,4417 | ||||||
| Cluster(7) | <- | hh_3r_urbanity(Low) | 0,0431 | ||||||
| Cluster(1) | <- | GEZINSCYCLUS(Single) | 0,0000 | 25,4235 | 18 | 0,11 | |||
| Cluster(2) | <- | GEZINSCYCLUS(Single) | 0,0000 | ||||||
| Cluster(3) | <- | GEZINSCYCLUS(Single) | 0,0000 | ||||||
| Cluster(4) | <- | GEZINSCYCLUS(Single) | 0,0000 | ||||||
| Cluster(5) | <- | GEZINSCYCLUS(Single) | 0,0000 | ||||||
| Cluster(6) | <- | GEZINSCYCLUS(Single) | 0,0000 | ||||||
| Cluster(7) | <- | GEZINSCYCLUS(Single) | 0,0000 | ||||||
| Cluster(1) | <- | GEZINSCYCLUS(Adult household) | 0,0000 | ||||||
| Cluster(2) | <- | GEZINSCYCLUS(Adult household) | -0,2553 | ||||||
| Cluster(3) | <- | GEZINSCYCLUS(Adult household) | -0,3330 | ||||||
| Cluster(4) | <- | GEZINSCYCLUS(Adult household) | -0,2793 | ||||||
| Cluster(5) | <- | GEZINSCYCLUS(Adult household) | 0,9398 | ||||||
| Cluster(6) | <- | GEZINSCYCLUS(Adult household) | -0,8130 | ||||||
| Cluster(7) | <- | GEZINSCYCLUS(Adult household) | -0,1257 | ||||||
| Cluster(1) | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | 0,0000 | ||||||
| Cluster(2) | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | -0,0415 | ||||||
| Cluster(3) | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | 0,1259 | ||||||
| Cluster(4) | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | 0,0705 | ||||||
| Cluster(5) | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | 0,1861 | ||||||
| Cluster(6) | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | -0,3336 | ||||||
| Cluster(7) | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | 0,3454 | ||||||
| Cluster(1) | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | 0,0000 | ||||||
| Cluster(2) | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | -0,0226 | ||||||
| Cluster(3) | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | -0,0676 | ||||||
| Cluster(4) | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | -0,2672 | ||||||
| Cluster(5) | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | -0,3600 | ||||||
| Cluster(6) | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | -0,4019 | ||||||
| Cluster(7) | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | 0,4909 | ||||||
| Cluster(1) | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | 19,0396 | 18 | 0,39 | |||
| Cluster(2) | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | ||||||
| Cluster(3) | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | ||||||
| Cluster(4) | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | ||||||
| Cluster(5) | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | ||||||
| Cluster(6) | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | ||||||
| Cluster(7) | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | ||||||
| Cluster(1) | <- | hhincome_4r(national benchmark income (29,500~43,500)) | 0,0000 | ||||||
| Cluster(2) | <- | hhincome_4r(national benchmark income (29,500~43,500)) | 0,0318 | ||||||
| Cluster(3) | <- | hhincome_4r(national benchmark income (29,500~43,500)) | -0,4396 | ||||||
| Cluster(4) | <- | hhincome_4r(national benchmark income (29,500~43,500)) | -0,2514 | ||||||
| Cluster(5) | <- | hhincome_4r(national benchmark income (29,500~43,500)) | -0,0587 | ||||||
| Cluster(6) | <- | hhincome_4r(national benchmark income (29,500~43,500)) | -0,0418 | ||||||
| Cluster(7) | <- | hhincome_4r(national benchmark income (29,500~43,500)) | -0,0609 | ||||||
| Cluster(1) | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 0,0000 | ||||||
| Cluster(2) | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 0,3422 | ||||||
| Cluster(3) | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 0,5312 | ||||||
| Cluster(4) | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 0,3012 | ||||||
| Cluster(5) | <- | hhincome_4r(above the national benchmark income (> 43,500)) | -0,1582 | ||||||
| Cluster(6) | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 0,3357 | ||||||
| Cluster(7) | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 0,2340 | ||||||
| Cluster(1) | <- | hhincome_4r(do not know/do not want to say) | 0,0000 | ||||||
| Cluster(2) | <- | hhincome_4r(do not know/do not want to say) | 0,2005 | ||||||
| Cluster(3) | <- | hhincome_4r(do not know/do not want to say) | 0,3361 | ||||||
| Cluster(4) | <- | hhincome_4r(do not know/do not want to say) | 0,2353 | ||||||
| Cluster(5) | <- | hhincome_4r(do not know/do not want to say) | -0,6538 | ||||||
| Cluster(6) | <- | hhincome_4r(do not know/do not want to say) | 0,0570 | ||||||
| Cluster(7) | <- | hhincome_4r(do not know/do not want to say) | 0,2654 | ||||||
| Cluster(1) | <- | Occupation_status(self-employed) | 0,0000 | 172,9996 | 12 | 1,2e-30 | |||
| Cluster(2) | <- | Occupation_status(self-employed) | 0,0000 | ||||||
| Cluster(3) | <- | Occupation_status(self-employed) | 0,0000 | ||||||
| Cluster(4) | <- | Occupation_status(self-employed) | 0,0000 | ||||||
| Cluster(5) | <- | Occupation_status(self-employed) | 0,0000 | ||||||
| Cluster(6) | <- | Occupation_status(self-employed) | 0,0000 | ||||||
| Cluster(7) | <- | Occupation_status(self-employed) | 0,0000 | ||||||
| Cluster(1) | <- | Occupation_status(paid job (govenment or non)) | 0,0000 | ||||||
| Cluster(2) | <- | Occupation_status(paid job (govenment or non)) | -0,5365 | ||||||
| Cluster(3) | <- | Occupation_status(paid job (govenment or non)) | -1,9516 | ||||||
| Cluster(4) | <- | Occupation_status(paid job (govenment or non)) | -1,5521 | ||||||
| Cluster(5) | <- | Occupation_status(paid job (govenment or non)) | -0,9894 | ||||||
| Cluster(6) | <- | Occupation_status(paid job (govenment or non)) | -1,7074 | ||||||
| Cluster(7) | <- | Occupation_status(paid job (govenment or non)) | -2,2664 | ||||||
| Cluster(1) | <- | Occupation_status(others) | 0,0000 | ||||||
| Cluster(2) | <- | Occupation_status(others) | -2,2288 | ||||||
| Cluster(3) | <- | Occupation_status(others) | 0,3694 | ||||||
| Cluster(4) | <- | Occupation_status(others) | -0,5420 | ||||||
| Cluster(5) | <- | Occupation_status(others) | 4,8356 | ||||||
| Cluster(6) | <- | Occupation_status(others) | 0,2197 | ||||||
| Cluster(7) | <- | Occupation_status(others) | -0,2160 | ||||||
| Cluster(1) | <- | Sector(Government) | 0,0000 | 192,2973 | 30 | 1,4e-25 | |||
| Cluster(2) | <- | Sector(Government) | 0,0000 | ||||||
| Cluster(3) | <- | Sector(Government) | 0,0000 | ||||||
| Cluster(4) | <- | Sector(Government) | 0,0000 | ||||||
| Cluster(5) | <- | Sector(Government) | 0,0000 | ||||||
| Cluster(6) | <- | Sector(Government) | 0,0000 | ||||||
| Cluster(7) | <- | Sector(Government) | 0,0000 | ||||||
| Cluster(1) | <- | Sector(Education) | 0,0000 | ||||||
| Cluster(2) | <- | Sector(Education) | -0,8185 | ||||||
| Cluster(3) | <- | Sector(Education) | -2,2507 | ||||||
| Cluster(4) | <- | Sector(Education) | -0,1313 | ||||||
| Cluster(5) | <- | Sector(Education) | -0,5723 | ||||||
| Cluster(6) | <- | Sector(Education) | -2,4308 | ||||||
| Cluster(7) | <- | Sector(Education) | -0,8992 | ||||||
| Cluster(1) | <- | Sector(Professional and Business Services) | 0,0000 | ||||||
| Cluster(2) | <- | Sector(Professional and Business Services) | -0,5630 | ||||||
| Cluster(3) | <- | Sector(Professional and Business Services) | -0,5369 | ||||||
| Cluster(4) | <- | Sector(Professional and Business Services) | -0,7360 | ||||||
| Cluster(5) | <- | Sector(Professional and Business Services) | 0,4432 | ||||||
| Cluster(6) | <- | Sector(Professional and Business Services) | -1,5818 | ||||||
| Cluster(7) | <- | Sector(Professional and Business Services) | -0,1853 | ||||||
| Cluster(1) | <- | Sector(Vital Sector) | 0,0000 | ||||||
| Cluster(2) | <- | Sector(Vital Sector) | -1,4227 | ||||||
| Cluster(3) | <- | Sector(Vital Sector) | -2,2207 | ||||||
| Cluster(4) | <- | Sector(Vital Sector) | -0,3568 | ||||||
| Cluster(5) | <- | Sector(Vital Sector) | -0,1615 | ||||||
| Cluster(6) | <- | Sector(Vital Sector) | -1,8419 | ||||||
| Cluster(7) | <- | Sector(Vital Sector) | -0,1525 | ||||||
| Cluster(1) | <- | Sector(Service Sector) | 0,0000 | ||||||
| Cluster(2) | <- | Sector(Service Sector) | -2,1278 | ||||||
| Cluster(3) | <- | Sector(Service Sector) | -1,8152 | ||||||
| Cluster(4) | <- | Sector(Service Sector) | -1,2568 | ||||||
| Cluster(5) | <- | Sector(Service Sector) | 0,6593 | ||||||
| Cluster(6) | <- | Sector(Service Sector) | -3,3170 | ||||||
| Cluster(7) | <- | Sector(Service Sector) | 0,1559 | ||||||
| Cluster(1) | <- | Sector(Others) | 0,0000 | ||||||
| Cluster(2) | <- | Sector(Others) | -0,4707 | ||||||
| Cluster(3) | <- | Sector(Others) | -1,2222 | ||||||
| Cluster(4) | <- | Sector(Others) | -0,0132 | ||||||
| Cluster(5) | <- | Sector(Others) | 0,2508 | ||||||
| Cluster(6) | <- | Sector(Others) | -0,7058 | ||||||
| Cluster(7) | <- | Sector(Others) | 0,3951 | ||||||
| SUM_SWLS | <- | 1 | 20,6342 | 537,3669 | 1 | 7,1e-119 | |||
| SUM_SWLS | <- | Cluster(1) | 0,0000 | 8,2718 | 6 | 0,22 | |||
| SUM_SWLS | <- | Cluster(2) | 0,0271 | ||||||
| SUM_SWLS | <- | Cluster(3) | -0,7900 | ||||||
| SUM_SWLS | <- | Cluster(4) | 0,4068 | ||||||
| SUM_SWLS | <- | Cluster(5) | -0,7738 | ||||||
| SUM_SWLS | <- | Cluster(6) | 0,8349 | ||||||
| SUM_SWLS | <- | Cluster(7) | -0,2152 | ||||||
| SUM_SWLS | <- | Agegroup_3r(1) | 0,0000 | 8,1734 | 2 | 0,017 | |||
| SUM_SWLS | <- | Agegroup_3r(2) | -0,0789 | ||||||
| SUM_SWLS | <- | Agegroup_3r(3) | 0,9356 | ||||||
| SUM_SWLS | <- | GESLACHT(Man) | 0,0000 | 0,5123 | 1 | 0,47 | |||
| SUM_SWLS | <- | GESLACHT(Woman) | 0,1677 | ||||||
| SUM_SWLS | <- | Education_level(Low education) | 0,0000 | 14,9674 | 2 | 0,00056 | |||
| SUM_SWLS | <- | Education_level(Middle education) | 0,9021 | ||||||
| SUM_SWLS | <- | Education_level(High education) | 1,5855 | ||||||
| SUM_SWLS | <- | hh_3r_urbanity(High) | 0,0000 | 1,6789 | 2 | 0,43 | |||
| SUM_SWLS | <- | hh_3r_urbanity(Medium) | -0,4021 | ||||||
| SUM_SWLS | <- | hh_3r_urbanity(Low) | 0,0116 | ||||||
| SUM_SWLS | <- | GEZINSCYCLUS(Single) | 0,0000 | 31,8491 | 3 | 5,6e-7 | |||
| SUM_SWLS | <- | GEZINSCYCLUS(Adult household) | 1,5752 | ||||||
| SUM_SWLS | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | 1,8424 | ||||||
| SUM_SWLS | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | 1,8615 | ||||||
| SUM_SWLS | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | 35,0190 | 3 | 1,2e-7 | |||
| SUM_SWLS | <- | hhincome_4r(national benchmark income (29,500~43,500)) | 1,7833 | ||||||
| SUM_SWLS | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 2,7320 | ||||||
| SUM_SWLS | <- | hhincome_4r(do not know/do not want to say) | 2,4362 | ||||||
| SUM_SWLS | <- | Occupation_status(self-employed) | 0,0000 | 3,9620 | 2 | 0,14 | |||
| SUM_SWLS | <- | Occupation_status(paid job (govenment or non)) | -0,4884 | ||||||
| SUM_SWLS | <- | Occupation_status(others) | -1,8649 | ||||||
| SUM_SWLS | <- | Sector(Government) | 0,0000 | 5,4920 | 5 | 0,36 | |||
| SUM_SWLS | <- | Sector(Education) | 0,0498 | ||||||
| SUM_SWLS | <- | Sector(Professional and Business Services) | -0,0587 | ||||||
| SUM_SWLS | <- | Sector(Vital Sector) | 0,2568 | ||||||
| SUM_SWLS | <- | Sector(Service Sector) | -0,8554 | ||||||
| SUM_SWLS | <- | Sector(Others) | -0,2971 | ||||||
| WFH_experience(Strongly disagree) | <- | 1 | 0,0000 | 474,8078 | 4 | 1,9e-101 | |||
| WFH_experience(Disagree) | <- | 1 | 1,4586 | ||||||
| WFH_experience(Neither disagree or agree) | <- | 1 | 4,1124 | ||||||
| WFH_experience(Agree) | <- | 1 | 1,2067 | ||||||
| WFH_experience(Strongly agree) | <- | 1 | -2,5990 | ||||||
| WFH_experience | <- | Cluster(1) | 0,0000 | 190,6223 | 6 | 1,9e-38 | |||
| WFH_experience | <- | Cluster(2) | 3,4194 | ||||||
| WFH_experience | <- | Cluster(3) | 4,0395 | ||||||
| WFH_experience | <- | Cluster(4) | 1,4837 | ||||||
| WFH_experience | <- | Cluster(5) | 1,3143 | ||||||
| WFH_experience | <- | Cluster(6) | 3,8897 | ||||||
| WFH_experience | <- | Cluster(7) | 0,7920 | ||||||
| WFH_experience | <- | Agegroup_3r(1) | 0,0000 | 0,0246 | 2 | 0,99 | |||
| WFH_experience | <- | Agegroup_3r(2) | 0,0080 | ||||||
| WFH_experience | <- | Agegroup_3r(3) | 0,0223 | ||||||
| WFH_experience | <- | GESLACHT(Man) | 0,0000 | 0,2886 | 1 | 0,59 | |||
| WFH_experience | <- | GESLACHT(Woman) | 0,0457 | ||||||
| WFH_experience | <- | Education_level(Low education) | 0,0000 | 1,0819 | 2 | 0,58 | |||
| WFH_experience | <- | Education_level(Middle education) | 0,0585 | ||||||
| WFH_experience | <- | Education_level(High education) | 0,1358 | ||||||
| WFH_experience | <- | hh_3r_urbanity(High) | 0,0000 | 2,4086 | 2 | 0,30 | |||
| WFH_experience | <- | hh_3r_urbanity(Medium) | -0,1931 | ||||||
| WFH_experience | <- | hh_3r_urbanity(Low) | -0,0381 | ||||||
| WFH_experience | <- | GEZINSCYCLUS(Single) | 0,0000 | 8,5074 | 3 | 0,037 | |||
| WFH_experience | <- | GEZINSCYCLUS(Adult household) | -0,0729 | ||||||
| WFH_experience | <- | GEZINSCYCLUS(Household with a youngest child with the age <= 12) | 0,2422 | ||||||
| WFH_experience | <- | GEZINSCYCLUS(Household with a youngest child with the age of 13 up to 17) | 0,0624 | ||||||
| WFH_experience | <- | hhincome_4r(below the national benchmark income(<29,500)) | 0,0000 | 8,0734 | 3 | 0,045 | |||
| WFH_experience | <- | hhincome_4r(national benchmark income (29,500~43,500)) | 0,4079 | ||||||
| WFH_experience | <- | hhincome_4r(above the national benchmark income (> 43,500)) | 0,4153 | ||||||
| WFH_experience | <- | hhincome_4r(do not know/do not want to say) | 0,2931 | ||||||
| WFH_experience | <- | Occupation_status(self-employed) | 0,0000 | 1,3825 | 2 | 0,50 | |||
| WFH_experience | <- | Occupation_status(paid job (govenment or non)) | -0,1873 | ||||||
| WFH_experience | <- | Occupation_status(others) | -0,1214 | ||||||
| WFH_experience | <- | Sector(Government) | 0,0000 | 5,3156 | 5 | 0,38 | |||
| WFH_experience | <- | Sector(Education) | -0,2543 | ||||||
| WFH_experience | <- | Sector(Professional and Business Services) | 0,0721 | ||||||
| WFH_experience | <- | Sector(Vital Sector) | -0,0227 | ||||||
| WFH_experience | <- | Sector(Service Sector) | -0,0409 | ||||||
| WFH_experience | <- | Sector(Others) | 0,0628 | ||||||
| Variances | |||||||||
| term | coef | Wald(0) | df | p-value | |||||
| SUM_SWLS | 24,9556 | 828,6861 | 1 | 3,1e-182 | |||||