HI,
I'm getting some strange results (probably my interpretation of the results)
in a linear mixed model.
I have ID variable with repeated measures (time).
Dependent variable1
Factors: variable 2, variable 3
Covariate: time
When I run a model with variable 2 (sig), variable 3 (sig), variable2*time
(sig), variable3*time (sig) the variable 3 parameter estimates seem wrong.
If I just run the model with just the main effects(no interactions), the
parameter estimates for variable 3 seem sensible.
Any ideas?
Regards,
Paola
"Ours has become a time-poor society, fatigued by non-physical demands and
trying to compartmentalize daily living tasks. It is small wonder that
physical activity is discarded in this environment" p126 (Steinbeck, 2001)
P Please consider the environment before printing this email.
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