Table 3.
Hierarchical linear regression analysis displaying adjusted associations between independent variables and job satisfaction (JSS ratings).
| Independent Variables | Job Satisfaction 6 | |
|---|---|---|
| β | p | |
| Sociodemographic variables | ||
| Age | 0.01 | 0.92 |
| Gender 1 | −0.06 | 0.14 |
| Years of experience as OT | 0.16 | 0.02 |
| Education level 2 | −0.02 | 0.57 |
| Adjusted r2 | 2.8% | <0.001 |
| Work structure variables | ||
| Located with other OTs 3 | 0.07 | 0.08 |
| Job size 4 | 0.06 | 0.13 |
| Job organization 5 | −0.02 | 0.60 |
| Adjusted r2 | 3.6% | <0.001 |
| Practice variables | ||
| Perceived influence 6 | 0.31 | <0.001 |
| Time proportion spent working with assistive aids 6 | −0.01 | 0.80 |
| Works mostly alone or in a team 8 | 0.09 | 0.05 |
| Participation in R&D work 9 | 0.03 | 0.49 |
| Adjusted r2 | 14.4% | <0.001 |
Note. Adjusted r2 (bold) is the proportion of the variance in job satisfaction scores explained by the preceding variables in the model. 1 Female gender has higher value. 2 Higher education levels have higher values. 3 Located with other OTs has higher value. 4 Full job has higher value. 5 Job organized as OT service or combined OT and PT service has higher value. 6 Higher perceived influence, higher time proportion spent working with assistive aids, and higher job satisfaction have higher values. 8 Works more often in a team has higher value. 9 Participation in R&D work has higher value.