In: Statistics and Probability
Conduct a two-factor fixed-effects ANOVA to determine if there are any effects due to A (task type), B (task difficulty), or the AB interaction (alpha = .01). Conduct Tukey HSD post-hoc comparison. The following are the scores from the individual cells of the model:
A₁B₁: 41, 39, 25, 25, 37, 51, 39, 101
A₁ B₂: 46, 54, 97, 93, 51, 36, 29, 69
A₁ B₃: 113, 135, 109, 96, 47, 49, 68, 38
A₂ B₁: 86, 38, 45, 45, 60, 106, 106, 31
A₂B₂: 74, 96, 101, 124, 48, 113, 139, 131
A₂B₃: 152, 79, 135, 144, 52, 102, 166, 155
Conduct a two-factor fixed-effects ANOVA to determine if there are any effects due to A (task type), B (task difficulty), or the AB interaction (alpha = .01). Conduct Tukey HSD post-hoc comparison. The following are the scores from the individual cells of the model:
A₁B₁: 41, 39, 25, 25, 37, 51, 39, 101
A₁ B₂: 46, 54, 97, 93, 51, 36, 29, 69
A₁ B₃: 113, 135, 109, 96, 47, 49, 68, 38
A₂ B₁: 86, 38, 45, 45, 60, 106, 106, 31
A₂B₂: 74, 96, 101, 124, 48, 113, 139, 131
A₂B₃: 152, 79, 135, 144, 52, 102, 166, 155
MINITAB used.
General Linear Model: score versus A, B
Method
| 
 Factor coding  | 
 (-1, 0, +1)  | 
Factor Information
| 
 Factor  | 
 Type  | 
 Levels  | 
 Values  | 
| 
 A  | 
 Fixed  | 
 2  | 
 1, 2  | 
| 
 B  | 
 Fixed  | 
 3  | 
 1, 2, 3  | 
Analysis of Variance
| 
 Source  | 
 DF  | 
 Adj SS  | 
 Adj MS  | 
 F-Value  | 
 P-Value  | 
| 
 A  | 
 1  | 
 14700  | 
 14700.0  | 
 14.55  | 
 0.000  | 
| 
 B  | 
 2  | 
 18367  | 
 9183.6  | 
 9.09  | 
 0.001  | 
| 
 A*B  | 
 2  | 
 1386  | 
 693.2  | 
 0.69  | 
 0.509  | 
| 
 Error  | 
 42  | 
 42419  | 
 1010.0  | 
||
| 
 Total  | 
 47  | 
 76872  | 
Model Summary
| 
 S  | 
 R-sq  | 
 R-sq(adj)  | 
 R-sq(pred)  | 
| 
 31.7799  | 
 44.82%  | 
 38.25%  | 
 27.93%  | 
Tukey Pairwise Comparisons: A
Grouping Information Using the Tukey Method and 95% Confidence
| 
 A  | 
 N  | 
 Mean  | 
 Grouping  | 
|
| 
 2  | 
 24  | 
 97  | 
 A  | 
|
| 
 1  | 
 24  | 
 62  | 
 B  | 
|
Means that do not share a letter are significantly different.
Tukey Simultaneous Tests for Differences of Means
| 
 Difference  | 
 Difference  | 
 SE of  | 
 Simultaneous  | 
 T-Value  | 
 Adjusted  | 
| 
 2 - 1  | 
 35.00  | 
 9.17  | 
 (16.49, 53.51)  | 
 3.82  | 
 0.000  | 
Individual confidence level = 95.00%
Tukey Pairwise Comparisons: B
Grouping Information Using the Tukey Method and 95% Confidence
| 
 B  | 
 N  | 
 Mean  | 
 Grouping  | 
|
| 
 3  | 
 16  | 
 102.500  | 
 A  | 
|
| 
 2  | 
 16  | 
 81.313  | 
 A  | 
 B  | 
| 
 1  | 
 16  | 
 54.687  | 
 B  | 
|
Means that do not share a letter are significantly different.
Tukey Simultaneous Tests for Differences of Means
| 
 Difference  | 
 Difference  | 
 SE of  | 
 Simultaneous  | 
 T-Value  | 
 Adjusted  | 
| 
 2 - 1  | 
 26.6  | 
 11.2  | 
 (-0.7, 54.0)  | 
 2.37  | 
 0.057  | 
| 
 3 - 1  | 
 47.8  | 
 11.2  | 
 (20.5, 75.1)  | 
 4.26  | 
 0.000  | 
| 
 3 - 2  | 
 21.2  | 
 11.2  | 
 (-6.1, 48.5)  | 
 1.89  | 
 0.155  | 
Individual confidence level = 98.07%
Results:
To test the main effect A, calculated F= 14.55, P=0.000 which is < 0.05 level of significance. Main effect A is significant.
To test the main effect B, calculated F= 9.09, P=0.001 which is < 0.05 level of significance. Main effect B is significant.
To test the interaction effect, calculated F= 0.69, P=0.509 which is > 0.05 level of significance. Interaction effect is not significant.
Tukey test for factor B:
Task level 1 with 3 are significant
Other pairs of levels, 1 with 2, 2 with 3 are not significant.