TINTERVAL FUNCTION multi-level AR mod... PreviousNext
Mplus Discussion > Dynamic Structural Equation Modeling >
 Loes Pouwels posted on Friday, March 27, 2020 - 1:15 am

I'd like to estimate a multi-level AR model, in which Y at t is predicted by Y at t-1 and X at t. This model is equivalent to Figure 5 in McNeish & Hamaker (2019).

If I include the INTERVAL option, I receive the following error:

When expanding time series data with the TINTERVAL option, all variables on
the within level should be dependent variables. Problem with: X

I don't receive an error if:
- Estimate a multi-level AR model with a predictor, as described above, without using the TINTERVAL function.
- I estimate a model with an autoregressive effect for Y and using TINTERVAL (without any other predictors)
- Estimate a multi-level VAR model with 2 outcomes (Y and X), and using the TINTERVAL function.

Is it correct that the TINTERVAL function could only be used to estimate multi-level VAR models, but cannot be used to estimate multi-level AR models with any other predictors in the model?

Thank you in advance.
 Bengt O. Muthen posted on Friday, March 27, 2020 - 5:58 pm
We need to see your full output - send to Support@statmodel.com along with your license number.
Back to top
Add Your Message Here
Username: Posting Information:
This is a public posting area. Enter your username and password if you have an account. Otherwise, enter your full name as your username and leave the password blank. Your e-mail address is optional.
Options: Enable HTML code in message
Automatically activate URLs in message