Hi everyone

I have the following situation:

In a longitudinal study, subjects fill out a questionnaire every year 
(repeated measurements over time). Also, the subjects are nested within 
departments. There is an intervention going on over time. The outcome 
variable is continuous. Now I'd like to analyse two things:

1. Is there a significant change over time? I think this is done by a 
mixed-effects model with time as an independent variable (also called 
growth-curves according to Jos W.R. Twisk 2006).

2. I want to build contrasts between the years (i.e., time points). Thus, 
I'd like to know which years are different from each other. Normally, I 
would do an ANOVA with a TukeyHSD-posthoc test, but I'm not sure how to do 
this with repeated measurements over time and a nested design. Could 
anybody help me on this?

Thanks for any help.

Regards,
Denis Aydin


References:

Applied Multilevel Analysis: A Practical Guide. Jos WR Twisk. Cambridge 
University Press, UK 2006

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