Dear list
There are three waves of data (2007, 2009, and 2011) on the number of minutes that people report walking for transport in the previous 7 days. The sample-size at each wave comprised 200 neighbourhoods and 11,000, 7900, and 6900 respondents in 2007, 2009 and 2011 respectively.
The variables at each wave has an excessive number of cases with zero-values (~60%), reflecting the fact that most people didn't walk for transport during the survey reference period; the rest of the cases have non-zero values that range from 1-840 minutes.
Is a mixed-effects model appropriate for these longitudinal data, and can this be done in MLwiN?
Atkins, D. C., Baldwin, S., Zheng, C., Gallop, R. J., & Neighbors, C. (in press). A tutorial on count regression and zero-altered count models for longitudinal addictions data.