J Dennis posted on Monday, March 03, 2014 - 10:43 am
I am trying to obtain descriptive statistics related to dropout in a longitudinal study as per e.g. 11.2 in UG version 6. I can't seem to make it work, I was hoping you might be able to help me spot the problem in the code below. I was able to successfully run the code in 11.4 (pattern-mixture model) for my data but not 11.2. thanks in advance!
Title: generating descriptive statistics for dropout in longitudinal study
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J Dennis posted on Monday, March 03, 2014 - 12:57 pm
OK will do --thank you.
In a related question, how do I interpret the coefficients for the binary variables in the pattern-mixture model in e.g. 11.4? I have 4 wave data with a continuous outcome (time coding 0,1,2,3), so I created d1-d3 binary dropout indicators. Is it correct that, for example, the coefficients (the latent slope and intercept regressed on d2) for d2 represent the effect/bias (on the latent intercept and slope estimates) due to the difference between those who dropped out after w2 (did not complete w3) compared to those who completed w3? Thus a significant coefficient for d2 indicates a significant bias in growth factor estimates due to differences between dropouts and w3 completers?