What procedure would best fit my longitudinal data?

[Marion83]

Hi everybody

I want to thank you in advance for reading my post! ....and I hope my question is appropriate!

I am in a bit of a pickle!

I have been conducting a longitudinal study for my PhD. I followed children born 2010 and 2011 for three years collecting data on various symptoms, such as ADHD, externalizing behavior problems, emotion dysregulation etc. I started my data collection when the children where finishing their last year at preschool and ended my data collection when they finished 2nd grade in elementary school. I used both online questionnaires which parents and teachers answered about the children and also diagnostic interview I administered to parents of children who where reported above the cut-off score on any of the online questionnaires.

Now I want to explore if emotion dysregulation at time 1 is predicting behavior problems at time 3. What do you think is appropriate analysis for that - I have been looking at, for example, Latent Growth Model, Partial Least Squares, Discriminant Analysis Functioning. Should I be looking at something else and should I focus on linear models or non-linear models?

Thank you for reading my looooong post!

[Ksharp]

If you are in Pharmacy field , try PROC GLIMMIX or PROC MIXED for longitual data .

[Marion83]

Thank you very much - I will look into that 🙂