I am fairly new to growth curve modeling, and have a question regarding the configuration of the model.
I am running a growth curve model with four first order latent constructs (computer anxiety for t1, t2, t3, and t4). The second order factors are of course the slope and intercept.
In the output, the mean for the intercept is listed as 0 (and presumably has been fixed to this value). In my earlier models where the trajectory parameters are the first order factors, this value was always non-zero and highly significant (which makes sense, given its meaning on the survey).
My question is whether or not I should free the mean for the intercept, and if so, how to do so?
For multiple indicator growth, we use the parametrization where intercepts are held equal across time and the mean of the intercept growth factor is fixed at zero. See the Topic 4 course handout under multiple indicator growth to see the steps and model we recommend in this case.