Table 6 Spearman’s correlations between scores, post-test and normalized gains (ns denotes not significant)
| Â | Novices (16) | Advanced (19) |
|---|---|---|
Correlation on score on identifying error and: | ||
 Normalized gain | ns | rs = 0.55, p = .016 |
 Normalized gain on output prediction | ns | rs = 0.58, p = .009 |
 Normalized gain on code writing | ns | rs = 0.46, p = .048 |
 Post-test code writing | ns | rs = 0.59, p = .008 |
 Post-test all questions | ns | rs = 0.66, p = .002 |
 Post-test output prediction | ns | rs = 0.55, p = .015 |
Correlation on score on output prediction and: | ||
 Score on identifying error | ns | rs = 0.68, p = .001 |
 Normalized gain on output prediction | ns | rs = 0.55, p = .016 |
 Post-test output prediction | ns | rs = 0.55, p = .015 |
Correlation on score on code fixing and: | ||
 Score on identifying error | ns | rs = 0.56, p = .014 |