Design and Analysis, Fourth Edition, by Keppel Chapter 13: The Analysis of Interaction Components | SPSS Textbook Examples

Data from Table 13.1, page 268.

data list list / a b recall.
begin data.
1 1 7
1 1 7
1 1 9
1 1 10
1 1 9
2 1 6
2 1 8
2 1 7
2 1 9
2 1 9
3 1 10
3 1 8
3 1 8
3 1 6
3 1 8
1 2 7
1 2 8
1 2 9
1 2 10
1 2 10
2 2 6
2 2 8
2 2 8
2 2 9
2 2 9
3 2 7
3 2 7
3 2 6
3 2 9
3 2 9
1 3 7
1 3 7
1 3 10
1 3 7
1 3 9
2 3 3
2 3 5
2 3 3
2 3 6
2 3 5
3 3 2
3 3 3
3 3 4
3 3 5
3 3 5
end data.

Table 13.1, page 268. Table means and Analysis of Variance in a two-factor design.

glm recall by a b
 /emmeans = table(a*b).

Estimated Marginal Means

Interaction contrasts for a two-factor design from Table 13.4, page 273 and Numerical Example, page 274-275

NOTE: The lmatrix statements for interaction contrast are defined at the A*B level. However, to evaluate the contrast on A by a particular level of B, a contrast must first be set up on A, and then defined which level of the A*B interaction  it is to take place over.

glm recall by a b
 /lmatrix = '(a2 vs. a3) vs. (b2 vs. b3)' a*b 0  0  0
                                              0  1 -1 
                                              0 -1  1
 /lmatrix = '(a1 vs. .5(a2 and a3)) vs. (b2 vs. b3)' a*b  0   1 -1
                                                          0 -.5 .5
                                                          0 -.5 .5
 /lmatrix = '(a1 vs. .5(a2 and a3)) at b2' a    1
                                              -.5
                                              -.5
                                              a*b  0  1   0
                                                   0 -.5  0
                                                   0 -.5  0
 /lmatrix = '(a1 vs. .5(a2 and a3)) at b3' a    1
                                              -.5
                                              -.5
                                              a*b   0  0  1
                                                    0  0 -.5
                                                    0  0 -.5.

Custom Hypothesis Tests #1

Custom Hypothesis Tests #2

Custom Hypothesis Tests #3

Custom Hypothesis Tests #4