I conducted a study in which i have daily attendance data (Time In and Time Out) for 120 individuals.
Specifically, attendance data are for every first M/W/F of each month, although i can always code for more (i.e., 3*12= 36 time points per person). For each such time point/day, i have Time In and Time Out as continuous variables (clock minute time), and i also have dummy codes for come early, come on time, come late, leave early, leave on time, leave late-all for each day. Finally, I also have variables measured once (e.g., personality) as well as three times (e.g., Job satisfaction).
Ideally, i would like to examine:
1)If employees can be grouped in meaningful attendance categories based on their daily attendance behavior throughout the course of the year.
2)Whether such categories vary by the day/month measured or are relatively stable.
3) Whether such categories can be predicted by variables (e.g., personality), even by taking into account their possible variation due to day/month.
4) Whether such categories coincide with levels of job satisfaction, that is go up/down together.
After much research, i still am not sure the type of analyses i need to conduct. However, i am very motivated to learn.
Thank you very much for your time and for reading this. Any help would be greatly appreciated!
Would it be a regular latent class analysis then? What about the fact that my indicators (dummy codes) are repeated measures? There would have to be a command in the syntax that accounts for this, correct?
Is there an example that you can direct me to on the website?
So i wouldn't be able to model the 36 dummy-coded observations per individual, and form latent classes based on these within person observations? (N=36 observations per person X 120 employees)
Rather, i would have to get a single dummy code observation per employee(an average over certain days as you indicated-can i do that with dummy codes?) and form latent classes from the between person observations (N=120 employees)?
I hope the above make sense, i tried to describe what is in my mind. I appreciate your time and help in this!
There are many ways to do this. I can't make that decision. One suggestion is to average over some of the days. You don't need to do that. For further guidance, you should seek the help of a statistical consultant. We can't provide that level of help on Mplus Discussion.