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Guidance/advice for a growth mixture ... |
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LR posted on Friday, March 01, 2013 - 9:42 am
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Hi ! I would like to ask for some advice/guidance. I have been using generalised linear mixed models for a particular dataset without much success. After some reading I think that a growth mixture model might be appropriate and that Mplus is the software I should use (which I have just acquired a license for). The data come from a study of a substance abuse cessation attempts. 100 participants report their use on 10 occasions including baseline, after which the cessation attempt begins. Clinical interest lies in two areas. First, is there a divergence in subsequent use (that is, lapse/relapse) between participants who are diagnosed with a particular disorder at baseline and those who are not ? Second, are there any distinct usage patterns/trajectories (classes) evident within the study population, and is membership of these classes predicted by the diagnosis aforementioned ? The outcome variable is zero inflated since many of the participants do not lapse/relapse. Potential confounders, both time varying and time invariant are also measured. There is some loss to follow-up and I would like to handle the missing data appropriately (in the glmm framework I was using multiple imputation). Is Mplus suited to this kind of analysis ? If so, I would be grateful for some guidance and/or links to any online examples of similar models. Thanks LR |
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It would seem Growth Mixture Modeling could be used for these data. See the criminology example in the following paper which is available on the website: Muthén, B. & Asparouhov, T. (2009). Growth mixture modeling: Analysis with non-Gaussian random effects. In Fitzmaurice, G., Davidian, M., Verbeke, G. & Molenberghs, G. (eds.), Longitudinal Data Analysis, pp. 143-165. Boca Raton: Chapman & Hall/CRC Press. See also the GMM papers on the website under Papers and the examples in Chapter 8 of the user's guide. |
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jeon small posted on Friday, March 01, 2013 - 6:53 pm
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The journal editor requested that I perform a post-hoc power analysis. The sample size is 438. The results from the measurement model are: X2=95.85, DF=40, probability level= .000, CFI=.954, RMSEA=.050 What do I need to know? |
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LR posted on Saturday, March 02, 2013 - 5:38 am
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Thank you Linda. In the paper you referenced it says that "input scripts for the analyses are available at http://www.statmodel.com" but I have not been able to locate this on the website. Please advise. |
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Turns out that I didn't post them. Mostly because they have counterparts in the User's Guide. Let us know if there is a particular model type that you don't find in the UG and I can dig into my runs. |
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Dear Dr. Muthen, I am trying to set up a model similar to the model presented in figure 1 of the van Lier, Muthen, van der Sar & Crijnen (2004) paper. Is the syntax used (or syntax for a similar model) available somewhere? Thanks in advance, David Buitenweg |
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Not exactly for that model, but you get it when you combine UG ex 8.1 with UG ex 6.14. |
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Thanks! |
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