Table 4.
Logistic Regression Analysis predicting User Category.
| Variables | β | SE | Wald | df | Sig. | Exp(B) | 95% C.I. for EXP(B) | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Handheld Use | 0.746 | 0.101 | 54.806 | 1 | < 0.001 | 2.108 | 1.730 | 2.568 |
| Hands-free Use | −0.059 | 0.076 | 0.592 | 1 | 0.442 | 0.943 | 0.812 | 1.095 |
| Age (60+ years) | 24.214 | 2 | < 0.001 | |||||
| Age (18–24 years) | 2.262 | 0.462 | 23.954 | 1 | < 0.001 | 9.606 | 3.882 | 23.768 |
| Age (25–59 years) | 1.593 | 0.424 | 14.143 | 1 | < 0.001 | 4.917 | 2.144 | 11.278 |
| Gender (Male) | −0.170 | 0.222 | 0.585 | 1 | 0.444 | 0.844 | 0.545 | 1.305 |
| Education Level (University) | 7.712 | 3 | 0.052 | |||||
| Education Level (Junior High School–Yr 10) | −0.381 | 0.648 | 0.345 | 1 | 0.557 | 0.683 | 0.192 | 2.434 |
| Education Level (Senior High School–Yr 12) | −0.682 | 0.421 | 2.621 | 1 | 0.105 | 0.506 | 0.221 | 1.154 |
| Education Level (TAFE) | −0.941 | 0.396 | 5.627 | 1 | 0.018 | 0.390 | 0.179 | 0.849 |
β,standardized regression coefficient; df, degrees of freedom; SE, standard error.
Dependent variable: normal users = 0, problematic users = 1.