Table 6.
Linear regression analysis between Demographic variables and Skill sub-score
| Skills sub-score | |||||
|---|---|---|---|---|---|
| β | 95% C.I. | P-value | |||
| Demographic variables | |||||
| Gender (ref: female) | 0.21 | 0.10, 0.32 | 0.000* | ||
| Years in practice | |||||
| 0–5 years | Ref | ||||
| 6–10 years | -0.07 | -0.24, 0.10 | 0.415 | ||
| 11–15 years | -0.14 | -0.31, 0.04 | 0.131 | ||
| 16 + years | -0.08 | -0.24, 0.09 | 0.361 | ||
| Research hours spent per week (ref: none) | -0.35 | -0.50, -0.20 | 0.000* | ||
| Clinical setting | |||||
| Solo | Ref | ||||
| w/chiropractors | 0.00 | -0.22, 0.22 | 0.993 | ||
| w/conventional health providers | 0.04 | -0.16, 0.25 | 0.669 | ||
| w/CM | -0.01 | -0.36, 0.34 | 0.957 | ||
| w/CM and conventional health providers | -0.04 | -0.26, 0.17 | 0.699 | ||
| Education | |||||
| England | Ref | ||||
| Denmark | -0.05 | -0.21, 0.10 | 0.496 | ||
| USA | -0.09 | -0.27, 0.09 | 0.320 | ||
| Australia | -0-19 | -0.38, 0.01 | 0.064 | ||
*Statistically significant, p-value < 0.05