Data from Chapter 2 from Table 2.2, page 22.
data list list /a score. begin data. 1 16 1 18 1 10 1 12 1 19 2 4 2 7 2 8 2 10 2 1 3 2 3 10 3 9 3 13 3 11 end data.
Table 4.4, page 70. Orthogonal contrasts in a one-way analysis of variance
NOTE1: Contrasts in SPSS are performed through the lmatrix option.
NOTE2: In an orthogonal contrast, the model sums of squares are uniquely partitioned
between the two comparisons.
glm score by a /lmatrix a 0 1 -1 /lmatrix a 1 -1/2 -1/2.
Custom Hypothesis Tests #1
Custom Hypothesis Tests #2
Non-orthogonal contrast, top of page 78.
NOTE: Unlike the previous orthogonal contrast, a non-orthogonal contrast does
not uniquely partition the model sums of squares.
glm score by a /lmatrix a 1 -1 0 /lmatrix a 1 0 -1.
Custom Hypothesis Tests #1
Custom Hypothesis Tests #2