In: Math
The following data were obtained from a two-factor
independent-measures experiment with n = 5
participants in each treatment condition. What is the F-value for
the interaction/AxB effect
B1 B2 B3
A1 | M = 3 T = 15 SS = 18 | M = 6 T = 30 SS = 28 | M = 9 T = 45 SS = 26 |
A2 | M = 1 T = 5 SS = 8 | M = 4 T = 20 SS = 20 | M = 1 T = 5 SS = 20 |
The F statistic for interaction of factors A and B is obtained as follows,
Step 1: The ANOVA table for the interaction term is defined as,
ANOVA | ||||
Source of Variation | SS | df | MS | F |
Interaction | ||||
Error |
Step 2: Now the sum of square values for interaction and error term is obtained as follow,
Where,
i = represent rows (i = 1,2),
j = represent columns (j = 1 , 2, 3)
k = represent measurement per treatment per condition (k = 1, 2, 3, 4, 5)
represents elements in the column,
represents mean of each group.
represents mean of each row (A1 and A2)
represents mean of each column (B1, B2 and B3)
represents total mean.
r is the number of participants each group (r = 5)
From the data values,
M | B1 | B2 | B3 | Mean |
A1 | 3 | 6 | 9 | 6 |
A2 | 1 | 4 | 1 | 2 |
Mean | 2 | 5 | 5 | 4 |
Step 3: The degree of freedom for interaction and error term is obtained as follow,
Where, a = number of rows, b = number of column.
Step 4: The mean square values for interaction and error term is obtained as follow,
Step 5: The F statistic value for interaction term is,
ANOVA | ||||
Source of Variation | SS | df | MS | F |
Interaction | 48 | 2 | 24 | 4.8 |
Error | 120 | 24 | 5 |