Table 1
Design of the example study: 2 by 2 (i. e., two-way) factorial
|
Factor 2: |
Second task | ||
|---|---|---|---|
|
Problem |
Example | ||
|
Factor 1: First task |
Problem |
n = 35 participants |
n = 35 participants |
|
Example |
n = 35 participants |
n = 35 participants |
Fig. 1
Graphical representation of the average scores of the four conditions in two-way analysis
Fig. 2
Example of an interaction effect: the effect of study method (i. e., solving problems vs. studying worked examples) depends on the type of learner
Table 2
Outcomes of two-way ANOVA: p -values, 95% confidence intervals (CI), and Bayes factors for the alternative vs. the null (BF 10 ) and for the null vs. the alternative hypothesis (BF 01 )
|
Effect |
p-value |
95% CI a |
BF b | ||
|---|---|---|---|---|---|
|
Lower bound |
Upper bound |
BF 10 |
BF 01 | ||
|
First task |
0.029 |
0.039 |
0.709 |
1.649 |
0.606 |
|
Second task |
0.140 |
−0.084 |
0.586 |
0.484 |
2.066 |
|
First-by-second |
0.862 |
−0.729 |
0.611 |
0.192 |
5.209 |
a 95% CI of the difference: positive values indicate favour of example over problem
b BF 01 = 1/BF 10