Hierarchical linear regression model of predictors of burnout
| Variable | Model 1 | Model 2 | ||||||
| B (95% CI) | SE | β | P value | B (95% CI) | SE | β | P value | |
| Constant | 29.793 (22.073 to 37.129) | 3.729 | 0.001 | 33.866 (24.815 to 42.742) | 4.341 | 0.001 | ||
| Techno-overload | 3.834 (1.550 to 6.127) | 1.147 | 0.263 | 0.003 | 3.776 (1.612 to 5.959) | 1.162 | 0.259 | 0.004 |
| Techno-complexity | 1.992 (−0.108 to 4.012) | 1.092 | 0.142 | 0.070 | 2.258 (0.088 to 4.309) | 1.093 | 0.161 | 0.043 |
| Techno-unreliability | 1.352 (−1.003 to 3.606) | 1.071 | 0.125 | 0.211 | 1.485 (−0.808 to 3.682) | 1.071 | 0.137 | 0.161 |
| Techno-usefulness | −1.423 (−3.835 to 1.184) | 1.201 | −0.101 | 0.235 | −1.750 (−4.184 to 0.835) | 1.220 | −0.125 | 0.148 |
| Lack of technical support | 0.019 (−1.787 to 1.748) | 0.952 | 0.002 | 0.989 | −0.174 (−1.977 to 1.649) | 0.955 | −0.017 | 0.878 |
| Support of employer* | −4.891 (−9.779 to −0.500) | 2.495 | −0.116 | 0.055 | ||||
| R2 | 0.145 | 0.158 | ||||||
| Adjusted R2 | 0.130 | 0.140 | ||||||
| f2 | 0.15 | 0.16 | ||||||
N=296; displayed are robust CIs and SEs based on 1000 bootstrap samples. Model 1: F(5, 290)=9.812, p<0.001; model 2: F(6, 289)=9.010, p<0.001, Durbin-Watson statistic=2.091.
Bold values indicate statistically significant results.
*No support as reference category.