In my study, I am trying to perform multi-level (three levels) longitudinal mixed-modeling on panel data with 6-time points. There is a bidirectional relationship between my predictor (education level) and the continuous outcome variable (cognitive score). I am assessing if education is associated with cognitive trajectories over time. How should I model my variables?
Hello,
I have moved your question to the "statistical procedures" board.
When I started doing multi-level (2+ levels) longitudinal mixed-modeling, I started here :
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Judith D. Singer
Journal of Educational and Behavioral Statistics
Vol. 23, No. 4 (Winter, 1998), pp. 323-355 (33 pages)
Good luck,
Koen
Hello,
I have moved your question to the "statistical procedures" board.
When I started doing multi-level (2+ levels) longitudinal mixed-modeling, I started here :
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Judith D. Singer
Journal of Educational and Behavioral Statistics
Vol. 23, No. 4 (Winter, 1998), pp. 323-355 (33 pages)
Good luck,
Koen
Thank you for these resources.
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.