Table 4.
Multivariate regression analysis investigating the impact of variables (age, gender, schooling level) on total and subscale scores.
| Model | B | Standard deviation | Beta | T | P value | |
| Overall | ||||||
| (Constant) | 31.819 | 7.413 | 4.292 | .000 | ||
| Number of hours spent using a mobile phone | 4.450 | 0.590 | .385 | 7.541 | .000 | |
| Age | 0.105 | 0.141 | .038 | 0.747 | .455 | |
| Gender | 4.403 | 2.310 | .091 | 1.906 | .057 | |
| Schooling level | 0.801 | 1.352 | .028 | 0.593 | .554 | |
| Not being able to access information | ||||||
| (Constant) | 10.722 | 2.556 | 4.195 | .000 | ||
| Number of hours spent using a mobile phone | 1.435 | 0.203 | .362 | 7.055 | .000 | |
| Age | 8.142E-005 | 0.049 | .000 | 0.002 | .999 | |
| Gender | 1.463 | 0.796 | .088 | 1.837 | .067 | |
| Schooling level | 1.052 | 0.466 | .108 | 2.258 | .024 | |
| Giving up convenience/losing connectedness | ||||||
| (Constant) | 11.518 | 2.955 | 3.897 | .000 | ||
| Number of hours spent using a mobile phone | 1.849 | 0.235 | .402 | 7.860 | .000 | |
| Age | 0.044 | 0.056 | .040 | 0.781 | .436 | |
| Gender | 0.196 | 0.921 | .010 | 0.213 | .832 | |
| Schooling level | -0.375 | 0.539 | -.033 | -0.697 | .486 | |
| Not being able to communicate | ||||||
| (Constant) | 9.579 | 3.056 | 3.135 | .002 | ||
| Number of hours spent using a mobile phone | 1.165 | 0.243 | .254 | 4.790 | .000 | |
| Age | 0.061 | 0.058 | .056 | 1.057 | .291 | |
| Gender | 2.745 | 0.952 | .142 | 2.882 | .004 | |
| Schooling level | 0.125 | 0.557 | .011 | 0.223 | .823 | |