Longitudinal data analysis using proc calis

[Sudeep_Neupane]

I need to perform a longitudinal path analysis among 7 variables that were collected at ten different time points (70 variables +covariates in a wide format). The path diagram is as follows:

I like to do something similar like the following image extracted from the video 'The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure':

In above picture, anxiety is the outcome variable. My question is: If I were to fit a linear latent curve model using proc calis, where would I provide all my predictor variables?

Thanks!

[sbxkoenk]

Hello,

I have moved this post to 'Statistical Procedures' board.

Koen

[Sudeep_Neupane]

Thank you, Mr. Koen!

[sbxkoenk]

Hello @Sudeep_Neupane ,

Have you seen :

SAS Global Forum proceedings 2015 -- Paper SAS1745-2015
The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure
Xinming An and Yiu-Fai Yung, SAS Institute Inc.
Qing Yang, Duke University
https://support.sas.com/resources/papers/proceedings15/SAS1745-2015.pdf

?

The paper covers basic latent curve models!

Thanks,

Koen

[Sudeep_Neupane]

Hello, Mr. Koen,
Thank you very much for pointing that out to me. The screenshot of the above code is extracted from the specific paper that you have mentioned here. I tried to reach one of the authors via LinkedIn too, however, I haven't heard back. Apparently, there are not many resources on path analysis + longitudinal data that I know of. I am basically stuck in two concepts: 1) How do I define paths if I include all the individual variable at one specific time point in the lineqs statement? OR, 2) How do I define "time" if I transform wide data into long format into the path statement.

[sbxkoenk]

Hello @Sudeep_Neupane ,

I have sent a SAS-internal mail to Yiu-Fai Yung.

I think Xinming An no longer works at SAS (?).

Let's see if he responds.

Have a nice weekend,

Koen

[Sudeep_Neupane]

Thank you very much, Mr. Koen! Jill Tao, a senior SAS statistician has reached out to me today. I really appreciate your help.