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?
Hello, Is it possible to create binary dropout dummy indicators for three different sets of variables in the same "data missing" command? I've tried three plausible variations of the program below and received warnings each time.
!V1 data missing: Names = fnc_1-fnc_8; TYPE=Ddropout; binary=fd1-fd7;