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.