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Hello, do you have any resources for interpreting the Mplus output for more than one categorical latent? I have already looked at example 7.14 in the manual. Thank you. |
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Look under Papers, Latent Class Analysis on our website. For instance, I think the Feingold paper has this flavor. Then there is of course the Latent Transition Analysis literature. |
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Can Mplus also perform "EXPLORATORY latent class factor analysis" (well, the term used by Magidson & Vermunt 2001)? If yes, how would Ex. 7.14 have to be altered? Many thanks! |
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I think this is our TYPE = MISTURE EFA. See Example 4.4. |
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Georg Datler posted on Wednesday, November 13, 2013 - 4:09 am
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Thank you! I would like to explore how many categorical latent variables ("factors") are necessary to grasp the pattern in a set of dichotomous observed variables. (.i.e. there would be no continous latent variable as in Ex 4.4.) Magidson & Vermunt call it the "latent class factor approach" Vermunt, J. K., and Magidson, J. (2001), Latent class factor and cluster models, bi-plots and related graphical displays, Sociological Methodology, 31, 223–264. |
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I think that means using several latent class variables. The UG has examples of LCA with several latent class variables. So with 2 such variables you have e.g. Model c1: [different observed-variable means/thresholds for different c1 classes]; Model c2: [different observed-variable means/thresholds for different c2 classes]; I think the special feature here is that for both Model c1 and Model c2 the observed-variable means/thresholds are given for all the observed variables to make the analysis exploratory. Depending on your theory, c1 and c2 can be uncorrelated (default) or specified to correlate. |
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