Table 2.
Multiple regression analysis for independent factors that influence procedural knowledge performance (KFP and PST)
| |
Procedural knowledge (KFP + PST) |
Strategic knowledge (KFP) |
Conditional knowledge (PST) |
|
|---|---|---|---|---|
| P | β | P | P | |
|
Domain specific conceptual knowledge |
|
|
|
|
| Result of conceptual knowledge test |
0.150 |
0.238 |
0.146 |
0.267 |
|
Learner characteristics |
|
|
|
|
| Kolb’s Learning Style Inventory |
0.667 |
|
0.617 |
0.772 |
| Motivation to learn nephrology |
0.226 |
−0.176 |
0.999 |
0.092 |
| Intended career as hospital-based doctor |
0.133 |
|
0.243 |
0.168 |
|
Clinical experience |
|
|
|
|
| Duration of clinical clerkships |
0.022* (r2=0.053) |
0.315 |
0.0002*** (r2=0.096) |
0.466 |
|
Cognitive performance |
|
|
|
|
| Result of university entrance diploma |
0.714 |
0.068 |
0.174 |
0.725 |
| Percentage of correct answers in NME-I |
0.025* (r2=0.136) |
0.376 |
0.010* (r2=0.055) |
0.122 |
| Adjusted r2 | 0.2621 | 0.3395 | 0.1497 | |
* p < 0.05; ** p < 0.01; *** p < 0.001.