Hello,
I am trying to build a model that includes morbidity count (0,1,2,3) as both a predictor and an outcome in the same structural equation model.
We created a simulated data set and tested our model, but unfortunately, the results are funky. Morbidity as the count outcome (with poisson dist) works, but issues arise with morbidity count as a predictor. I am guessing it is treating it as a continuous variable, which is not correct. Does anyone know of any tips/ideas to ensure that the count data is treated as such when it is a predictor?
This is a our SEM structure:
morbidity ~ beginningweight
morbidity ~ gender
endingweight ~ beginningweight
endingweight ~ morbidity
endingweight ~ gender
beginningweight ~ gender
Thank you,
Lauren