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| Wim Beyers posted on Tuesday, February 01, 2005 - 12:43 am
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| Is it possible to estimate a Growth Mixture Model based on multivariate data? I mean, a classical cluster analysis often is based on multiple (relatively) independent variables (e.g., in parenting research: warmth and control). So, is this also possible in a LGMM (e.g., finding latent classes of trajectories in warmth ànd control)? I do not mean parallel LGMM, but rather 'combined' LGMM. |
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| Yes. |
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| Wim Beyers posted on Thursday, February 03, 2005 - 2:55 am
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| OK, but do examples exist of such an analysis? To make myself more clear: I want to estimate latent classes that combine measures of at least two relatively independent variables (X1 and X2), measured repeatedly. So that, for instance, Class 1 consists of persons with 'stable high levels of X1' (high intercepts and low slopes) COMBINED with 'increasing X2 (low intercepts and high slopes). |
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| bmuthen posted on Thursday, February 03, 2005 - 10:15 am
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| I don't know that we have exactly such examples, but the idea and the modeling is clear. You would use 2 sets of growth factors (I assume you don't think they are the same for the 2 outcomes) but one latent class variable, where the latent classes are determined by the joint growth trajectories. You can use ex 6.13, deleting the last 2 lines of the model input, adding type = mixture and letting the defaults give you different growth factor means. |
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| KL posted on Monday, February 25, 2019 - 5:07 pm
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| As a follow up to this original post, I was wondering if it is possible to conduct an LGMM analysis with multiple outcomes (anxiety, depression, self-esteem). In other words, is there a way to model three outcomes at the same time to test whether there are different classes of individuals who might show differing patterns across these variables? |
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| Yes, this is possible. Just specify multiple growth models. They can either have their own latent class variable or share on in common. |
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| KL posted on Saturday, June 22, 2019 - 1:44 pm
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| Thank you for your reply Dr. Muthen! I was wondering if there are any resources or examples available for how to specify the multiple growth models? |
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| You can start from UG ex 7.14 which shows 2 sets of outcomes, each with its own latent class variable. Just turn that into a growth situation. Then generalize to 3 sets. I can't think of a paper that describes this in detail but there is nothing difficult about it. |
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