Table 3 Ordered multi-classification logistic regression model

WIF

−0.61

−0.51

−0.81

−1.10^b (0.332)

−0.99

−0.76

−1.02

−1.31^a (0.270)

−0.79

−0.82

−1.07^a (0.345)

−1.35^b (0.259)

− 1.02

− 0.94

− 1.15^b (0.318)

− 1.45^b (0.236)

FIW

0.23

0.40

0.03

0.23

0.34

0.50

0.11

0.24

0.06

0.36

−0.07

0.10

0.03

0.37

−0.11

−0.01

CMC

0.28

0.64^a (1.897)

0.63^a (1.870)

0.60^a (1.822)

0.21

0.63^b (1.897)

0.62^b (1.852)

0.62^a (1.867)

0.47

0.74^a (2.09)

0.73^a (2.077)

0.66

0.58

0.89^b (2.443)

0.88^b (2.410)

0.83^a (2.291)

SFC

−1.27^a (0.280)

−1.32^b(0.267)

− 1.21

(0.298)

−0.99

− 1.41^b (0.244)

− 1.51^b (0.220)

−1.42^b (0.242)

− 1.15^a (0.315)

−1.58^a (0.207)

− 1.54^a (0.215)

−1.42^a (0.242)

− 1.16

−1.85^a (0.158)

− 1.79^a (0.166)

−1.68^a (0.187)

− 1.36

OLD

−1.51^a (0.221)

−0.93

−1.05

− 0.91

−2.16^c (0.115)

−1.17^c (0.311)

− 1.29^c (0.276)

−1.18^c (0.309)

CHI

−2.46^b (0.085)

−2.67^b (0.069)

−2.64^b (0.072)

−1.80

− 2.71^c (0.066)

− 2.75^c (0.064)

− 2.83^c (0.059)

−1.88^c (0.153)

FAM

0.75

0.87^a (2.382)

0.89^a (2.44)

0.70

0.86^c

0.86^c (2.363)

0.89^c (2.457)

0.69^b (1.952)

WGO

−2.00

−2.46

−1.91

−2.69

− 2.88

− 2.60

−2.19

−3.64^a (0.026)

PLA

−0.77

−0.61

−0.65

−0.23

−1.40

−0.87

−1.08

− 0.59

IND

−1.30

−1.07

−1.05

− 1.21

−1.48

− 1.21

−1.17

− 1.51

INC

−1.38

−1.15

−1.35

− 1.87

−1.24

−0.53

−0.84

− 1.65

EDU

0.26

0.28

0.33^b (1.395)

0.41^b (1.502)

0.35^b (1.413)

0.36^b (1.432)

0.41^c (1.505)

0.47^c (1.593)

MAR

0.71

2.05^a (7.765)

2.32^a (10.15)

1.57

0.70

2.25^a (9.450)

2.44^b (11.439)

1.84

AGE

−0.03

−0.05

−0.06

−0.03

0.02

0.00

−0.02

0.01

N

Likelihood ratio tests

Pseudo R²