Anonymous posted on Wednesday, March 30, 2005 - 8:29 am
We have a design that collects longitudinal data from three tests (A, B, C) of increased difficulty over time. Students self-select to take test C at grade 11 or 12. Students might take test C more than once, but we have decided to take the most recent test date available. Most students take tests A and B at the same two earlier grades. Instead of modeling growth as three time points, we use 4 time points separating those who took test C at grade 11 and those who took test C at grade 12. This results in missing data at the last two time points with zero coverage. The unconditional growth model in Mplus is set up as a two-level model. We also run a conditional model with covariates. Does Mplus run under the assumption of MCAR or MAR for the unconditional and conditional models?