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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? Thank you! |
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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. |
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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? |
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http://mplus.fss.uu.nl/2012/09/12/the-workshop-new-features-of-mplus-v7/ |
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