Table 9.
Independent sample t-tests of Beijing and Guizhou students' COLE.
| Levene's test for equality | T -test for equality of means | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| F | Sig. | t | df | Sig. (two-tailed) | Mean difference | Std. error difference | 95% confidence interval | ||
| Lower | Upper | ||||||||
| MR | 16.71 | 0.000 | 8.21 | 504.99 | 0.000 | 0.68 | 0.08 | 0.51 | 0.84 |
| Me | 18.61 | 0.000 | 1.97 | 480.14 | 0.050 | 0.14 | 0.07 | 0.00 | 0.28 |
| Te | 25.55 | 0.000 | 4.33 | 468.83 | 0.000 | 0.34 | 0.08 | 0.19 | 0.50 |
| DP | 56.80 | 0.000 | 1.01 | 442.15 | 0.313 | 0.06 | 0.06 | −0.06 | 0.17 |
| IK | 32.80 | 0.000 | 2.47 | 480.84 | 0.014 | 0.15 | 0.06 | 0.03 | 0.27 |
| AP | 26.12 | 0.000 | 5.93 | 472.15 | 0.000 | 0.34 | 0.06 | 0.23 | 0.45 |
| Und | 39.67 | 0.000 | 3.82 | 470.20 | 0.000 | 0.23 | 0.06 | 0.11 | 0.35 |
| Se | 18.81 | 0.000 | 2.90 | 465.35 | 0.004 | 0.17 | 0.06 | 0.05 | 0.29 |
MR, Meeting the Requirements; Me, Memorizing; Te, Testing; DP, Drills and Practice; IK, Increasing Knowledge; Ap, Applying; Und, Understanding; Se, Seeing in a New Way.