TABLE 1.
Descriptive statistics of the central variables.
| Variable |
Condition |
|||
|
Worked-examples |
Problem-solving |
|||
| M(SD) | 95% CI | M(SD) | 95% CI | |
| In-class Session 1 | ||||
| Initial performance expectancy in points4 | 23.20 (7.94) | [20.27; 25.98] | 18.87 (10.09) | [15.30; 22.35] |
| Test performance in points | 14.13 (5.30) | [12.39; 16.08] | 17.24 (6.85) | [15.07; 19.69] |
| In-class Session 2 | ||||
| Test performance in points | 12.50 (6.58) | [10.49; 14.90] | 14.25 (7.62) | [11.81; 16.93] |
95% CI is based on bootstrapping with 1000 samples. All initial performance expectancies and both post-test points ranged from 0 to 42 points. 4When Initial performance expectancy is computed as mean of PS1-PE1 and PS1-PE2, summed with PS2-PE1 (that is with the initial performance expectancy after receiving an example solution averaged), the values are similar, M = 23.54, SD = 8.01, 95% CI [20.70, 26.19]. Performance expectancies prior and after seeing the example solution (PS1-PE1 and PS1-PE2) are not statistically different in both groups (Worked example: t(31) = −0.97, p = 0.34, MD = −0.67, SD = 3.91, 95% CI [−2.08, 0.74], dCohen = 0.09; Problem solving: t(28) = −1.45, p = 0.16, MD = −1.17, SD = 4.37, 95% CI [−2.83, 0.49], dCohen = 0.13).