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LGM with large data set
Growth Modeling of Longitudinal Data
posted on Tuesday, November 12, 2013 - 12:48 pm
I am trying to find the best way to run an LGM with 2000 observations. For simplicity, I'll describe only one aspect of the data that I am attempting to model.
Subjects received 2000 Stroop trials and I want to see if reaction time changes across observations.
To make the data fit in Mplus, I first thought of taking the average RT across a set but I lose a lot of information when I go that route.
Does anyone have any suggestions?
Bengt O. Muthen
posted on Tuesday, November 12, 2013 - 5:12 pm
I think you are saying that you have 2000 time points and want to study change over those time points. The handout and video on or website from the Utrecht Version 7 training in August 2012 discusses approaches for these type of longitudinal data.
posted on Wednesday, November 13, 2013 - 10:11 am
Thanks for your response! I found the handouts but I couldn't find the videos that you're talking about. Could you please post a link?
Linda K. Muthen
posted on Wednesday, November 13, 2013 - 1:19 pm
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