I am a Ph.D. student working on an etiological model of criminal recidivism. Therefore, I want to do a path analysis where the main dependent variables are three types of criminal recidivism, each defined as a dichotomous variable (no/yes) with a specific follow-up time.
In a regular regression analysis, I would use Cox regression. But because I want to do an etiological model, I must use path analysis (or SEM). My question is the following: is there a way to take time-to-event into account in a path analysis?
Here's a simplified version of my syntax (without time):
TITLE: ... DATA: FILE IS "..."; VARIABLE: NAMES ARE delsex delgen youthstr sexrec viorec nsnvrec; USEVARIABLES ARE delsex delgen youthstr sexrec viorec nsnvrec; CATEGORICAL IS sexrec viorec nsnvrec; MODEL: sexrec ON delsex delgen youthstr; viorec ON delgen youthstr; nsnvrec ON delgen youthstr; OUTPUT: standardized;
If I wanted to take the time elapsed until recidivism into account, how would I proceed? The important thing to remember is that each recidivism type (sexrec, viorec, nsnvrec) has its own follow-up time.
Thanks a lot for your time, your software is fantastic!
Then, my question becomes: how would I modify the 6.20 example to account for multiple time-dependent DVs?
In the manual, we have: VARIABLE: NAMES = t x tc; SURVIVAL = t (ALL); TIMECENSORED = tc (0 = NOT 1 = RIGHT); ANALYSIS: BASEHAZARD = OFF; MODEL: t ON x;
For multiple DVs, would it look like this? VARIABLE: NAMES = t1 t2 t3 x tc1 tc2 tc3; SURVIVAL = t1 t2 t3 (ALL); TIMECENSORED = tc1 tc2 tc3 (0 = NOT 1 = RIGHT); ANALYSIS: BASEHAZARD = OFF; MODEL: t1 t2 t3 ON x;