Table 4

Results of the proportional-odds ordinal logistic regression model

VariableBSEz-ratiop-valueOR95% CI for ORVIFDecision
OPTI0.1410.1141.2280.2191.151[0.920, 1.440]1.318Not supported
SCEP0.0250.120.2050.8371.025[0.810, 1.297]1.444Not supported
INNOV0.0910.1160.7830.4331.095[0.872, 1.375]1.518Not supported
INSEC0.1270.1051.2020.2291.135[0.923, 1.396]1.142Not supported
ECU0.4890.133.749<0.0011.63[1.263, 2.105]1.739Supported
RISK−0.2060.119−1.7250.0840.814[0.644, 1.028]1.611Not supported
KNOW0.9490.1128.457<0.0012.584[2.074, 3.221]1.157Supported
NREG−0.2320.116−2.0020.0450.793[0.631, 0.995]1.595Supported
SEX0.1720.2180.7870.4311.187[0.774, 1.821]1.177Not supported
OLD−0.4280.195−2.2010.0280.652[0.445, 0.954]1.055Supported
ACT0.7780.2652.9330.0032.177[1.295, 3.663]1.304Supported
ED0.3180.2641.2060.2281.374[0.820, 2.304]1.333Not supported

Note(s): B = coefficient, SE = standard error, OR = odds ratio, McFadden's pseudo R2 = 0.152; LR statistic = 207.419 (p < 0.001)

Source(s): Author’s own work

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