Dear SPSS-ers,

I have a question regarding the use of the mixed-model approach and

nested designs.

In my dataset there are 2 groups each with 16 subjects, and each

subject performed 2 different tasks (fixed effect) in which a variable

was manipulated (7 levels: random effect). Then, there are multiple

observations per subject in all these levels of all tasks.

Previously, with just one group, I used univariate GLM with subject as

a random factor. But now, I cannot do that since subject is nested

within group, so I cannot enter subject and group independently.

Therefore, I though the Linear Mixed Model in SPSS 11.0 would be a

solution. The problem is that I don't understand how to carry out this

procedure; I would like to be able to test for group differences, and

whether there are any task*group differences.

I hope my story is not to complicatedly stated, and any help is

greatly appreciated!

Kind regards,

Floris de Lange