I have one continuous variable (X), a categorical variable (Z; a
treatment variable with three levels), and a continuous outcome
variable (Z). X is an individual difference variable, consideration of
future consequences (CFC).
I have already figured out how to compare the different treatment
variables for different values of CFC. For example, for comparing
treatment 1 and 2 among low-CFC individuals (Mean at -1 SD = 4.2261),
I would write the following
model y = cond cfc cond*cfc;
ESTIMATE 'cond 1 vs 2 at low cfc' cond -1 1 0 cond*cfc -4.2261 4.2261
However, I can't figure out how to test whether high- and low-CFC
individuals differ in Y, for each level of Z.
||9/5/2010 9:01:13 PM