Table 1.
Final regression model for care staff in 3 different care contexts.
| Group of participants and dimension | Ba | Standard error B | beta | tb | Variance inflation factor | Adjusted r2c | |
| Geriatric care | .839 | ||||||
| Technology | .961 | .126 | .658 | 7.605 | 1.389 | ||
| Barriers | −.421 | .124 | −.253 | −3.400 | 1.397 | ||
| Benefits | .424 | .125 | .295 | 3.387 | 1.017 | ||
| Medical care | .604 | ||||||
| Technology | .742 | .162 | .558 | 4.573 | 1.164 | ||
| Benefits | .450 | .140 | .392 | 3.215 | 1.164 | ||
| Disabled people’s care | .621 | ||||||
| Technology | .581 | .156 | .388 | 3.726 | 1.664 | ||
| Benefits | .434 | .118 | .340 | 3.687 | 1.347 | ||
| Data | .477 | .151 | .291 | 3.156 | 1.293 | ||
aB: regression coefficient B.
bt: t-statistic (coefficient divided by its standard error).
cr2: coefficient of determination.