Table 1.
Factor loadings for the R-SPQ-2F questionnaire.
| Item no. | Deep learning | Surface learning |
|---|---|---|
| E6 | 0.744 | −0.132 |
| E13 | 0.734 | −0.255 |
| E14 | 0.718 | −0.116 |
| E9 | 0.700 | −0.078 |
| E10 | 0.694 | −0.013 |
| E5 | 0.669 | −0.111 |
| E17 | 0.632 | −0.117 |
| E2 | 0.632 | 0.283 |
| E1 | 0.624 | −0.265 |
| E18 | 0.570 | −0.117 |
| E7 | −0.538 | 0.470 |
| E12 | −0.271 | 0.715 |
| E11 | 0.063 | 0.613 |
| E20 | −0.049 | 0.596 |
| E19 | −0.380 | 0.595 |
| E16 | −0.319 | 0.571 |
| E4 | −0.023 | 0.570 |
| E8 | 0.293 | 0.487 |
| E15 | −0.409 | 0.484 |
| E3 | −0.417 | 0.475 |
| % variance | 32.83 | 12.38 |
| Cronbach's alpha | 0.87 | 0.81 |
Bold items are those with loading > .40.