I am running an LGM for my intervention study. We have collected data at 6 timepoints. The 6th timepoint is our primary outcome variable. I have missing data at this timepoint.
As Mplus can estimate the slopes based on the collected data, can I save the estimated intercepts at the 6th timepoint? In that way MPlus has imputed the data, right?
I have tried this with the fscores command, but I only get the measured data, but not the estimates.
This is my syntax:
TITLE: simple LGM DATA: FILE IS simple LGM.dat;
VARIABLE: NAMES ARE TbCISz M3CISz M6CISz M9CISz T1CISz T2CISz; !GROUPING IS group (1 = AAF 2 = MBCT 3=MIC); USEVARIABLES ARE TbCISz M3CISz M6CISz M9CISz T1CISz T2CISz;
MODEL: i s | TbCISz@0M3CISz@1M6CISz@2M9CISz@3T1CISz@4T2CISz@8; OUTPUT: sampstat stand; PLOT: Type=plot3; SERIES = TaCISz (-1) TbCISz (0) M3CISz (1) M6CISz (2) M9CISz (3) T1CISz (4) T2CISz (8); SAVE DATA: FILE IS LGM_output.sav; SAVE IS FSCORES;
I hope you can tell me how to collect the estimated intercepts at the 6th timepoint.