Table 3.
Relative importance of practice change attributes to the Change Ready, and Demand Sensitive segments
| Attribute | Latent class segment | F | η 2 | |||||
|---|---|---|---|---|---|---|---|---|
| Change Ready | Demand Sensitive | |||||||
| R | M | (SD) | R | M | (SD) | |||
| Contextual and social attributes | ||||||||
| Presenter’s qualities | 1 | 11.6 | (0.2) | 2 | 10.8 | (0.6) | 866.5*** | 0.5 |
| Colleague support | 2 | 10.0 | (0.1) | 3 | 10.3 | (0.2) | 521.7*** | 0.3 |
| Union endorsement | 5 | 9.0 | (0.2) | 4 | 10.0 | (0.1) | 7,412.4*** | 0.9 |
| Compatibility with practice | 3 | 9.7 | (0.2) | 1 | 11.4 | (0.3) | 8,872.8*** | 0.9 |
| Administrative support | 4 | 9.2 | (0.0) | 5 | 8.8 | (0.4) | 805.1*** | 0.4 |
| Provincial curriculum links | 8 | 6.5 | (0.3) | 6 | 8.6 | (0.5) | 8,382.6*** | 0.9 |
| Content attributes | ||||||||
| Supporting evidence | 7 | 6.6 | (0.1) | 9 | 5.3 | (0.6) | 3,708.8*** | 0.8 |
| Focus on knowledge versus skills | 10 | 4.9 | (0.1) | 13 | 3.1 | (0.7) | 5,264.1*** | 0.8 |
| Observability, trialability | 12 | 4.8 | (0.3) | 16 | 2.5 | (0.5) | 9,054.9*** | 0.9 |
| Universal versus targeted | 15 | 2.5 | (0.0) | 15 | 2.4 | (0.1) | 510.6*** | 0.3 |
| Practice change process attributes | ||||||||
| Coaching to improve skills | 6 | 7.5 | (0.3) | 10 | 4.5 | (0.7) | 7,625.3*** | 0.9 |
| Workshop size | 9 | 6.0 | (0.0) | 8 | 5.4 | (0.4) | 2,288.6*** | 0.7 |
| Follow-up support | 11 | 4.9 | (0.5) | 12 | 3.8 | (1.4) | 344.6*** | 0.3 |
| Training time demands | 13 | 3.0 | (0.4) | 7 | 6.6 | (1.0) | 7,123.4*** | 0.9 |
| Selection process | 14 | 2.9 | (0.1) | 11 | 3.8 | (0.4) | 3,730.0*** | 0.8 |
| Internet options | 16 | 1.0 | (0.2) | 14 | 2.8 | (0.6) | 5,789.5*** | 0.9 |
Importance scores for each participant were derived by converting the range of each attribute’s levels to a percentage of the sum of the utility value ranges of all 16 attributes. Higher importance scores show that experimental variations in the levels of that attribute exerted a greater influence on practice change choices. For each attribute, the segment with the highest importance score is bolded
R = relative rank of importance score; M = mean importance score value; (SD) = standard deviation
*** p < 0.001