Table 2.
Hierarchical Regression Analysis to predict security-related behavior (App Selection).
Variable | β | SE | 95% CI | p | ||
---|---|---|---|---|---|---|
LL | UL | |||||
1 | 0.064 | |||||
(Constant) | 0.190 | 2.281 | 3.030 | <0.001 | ||
Residency Level | 0.119 | 0.032 | 0.005 | 0.129 | 0.035 | |
ATI | 0.217 | 0.042 | 0.080 | 0.246 | <0.001 | |
2 | 0.056 | |||||
(Constant) | 0.362 | 1.369 | 2.794 | <0.001 | ||
Residency Level | 0.109 | 0.031 | 0.000 | 0.123 | 0.049 | |
ATI | 0.215 | 0.041 | 0.081 | 0.243 | <0.001 | |
Social Support (Supervisor) | 0.210 | 0.055 | 0.072 | 0.290 | 0.001 | |
Social Support (Colleagues) | −0.069 | 0.081 | −0.246 | 0.072 | 0.282 | |
Inform. sec.-rel. Commun. | 0.125 | 0.053 | 0.015 | .224 | 0.026 |
Note. R² = 0.117. Only respondents who had experience with diagnostic and therapeutic decision support apps were included. N = 302. CI = confidence interval; LL = lower limit; UL = upper limit.