In: Statistics and Probability
A replication study dataset of the example from this chapter is given as follows (A = attractiveness, B = time; same levels). Using the scores from the individual cells of the model that follow, conduct a two-factor fixed-effects ANOVA (alpha = .05). Are the results different as compared to the original dataset?
A1B1: 10, 8, 7, 3
A1B2: 15, 12, 21, 13
A2B1: 13, 9, 18, 12
A2B2: 20, 22, 24, 25
Result:
A replication study dataset of the example from this chapter is given as follows (A = attractiveness, B = time; same levels). Using the scores from the individual cells of the model that follow, conduct a two-factor fixed-effects ANOVA (alpha = .05). Are the results different as compared to the original dataset?
A1B1: 10, 8, 7, 3
A1B2: 15, 12, 21, 13
A2B1: 13, 9, 18, 12
A2B2: 20, 22, 24, 25
Excel Addon Megastat used.
Two factor ANOVA |
|||||
Factor 2 |
|||||
Means: |
|||||
B1 |
B2 |
||||
A1 |
7.0 |
15.3 |
11.1 |
||
Factor 1 |
A2 |
13.0 |
22.8 |
17.9 |
|
10.0 |
19.0 |
14.5 |
|||
4 |
replications per cell |
||||
ANOVA table |
|||||
Source |
SS |
df |
MS |
F |
p-value |
Factor 1 (A) |
182.25 |
1 |
182.250 |
16.63 |
.0015 |
Factor 2( B) |
324.00 |
1 |
324.000 |
29.57 |
.0002 |
Interaction |
2.25 |
1 |
2.250 |
0.21 |
.6585 |
Error |
131.50 |
12 |
10.958 |
||
Total |
640.00 |
15 |
Both Factor A and B are significant at 0.05 level of significance. Interaction effect is not significant.