Hi there,
I have pre/post data on the same tool for two different populations (Group A: Higher needs, Group B: Lower needs) and two different services (Intensive counseling for group A, Brief counseling for group B). Other variables include age, gender and length of service.
Would it be inappropriate to conduct a mixed 2x2 anova to look at the variance across the groups at start of their treatment and at the end of their treatment?
I am getting confused with statistical literature that seems to suggest this is inappropriate.
Also, I was thinking that it would be appropriate to do a one-way anova of the post-treatment scores using the IV as the two treatments, the DV as the post score, and the Covariate. -- Should I be using the post score as DV or should I compute a change score (pre minus post).
Thanks for any feedback!
I have pre/post data on the same tool for two different populations (Group A: Higher needs, Group B: Lower needs) and two different services (Intensive counseling for group A, Brief counseling for group B). Other variables include age, gender and length of service.
Would it be inappropriate to conduct a mixed 2x2 anova to look at the variance across the groups at start of their treatment and at the end of their treatment?
I am getting confused with statistical literature that seems to suggest this is inappropriate.
Also, I was thinking that it would be appropriate to do a one-way anova of the post-treatment scores using the IV as the two treatments, the DV as the post score, and the Covariate. -- Should I be using the post score as DV or should I compute a change score (pre minus post).
Thanks for any feedback!