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| Latent Class Analysis or EFA |
 
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I have collected data during my field work for my research degree. I, with the use of this data, am trying to classify individuals in 4 levels of poverty: abject poor, very poor, poor and not poor. The data I have has continuous, ordered and nominal variable. Would you recommend using LCA or EFA in MPlus? Which version of Mplus should I buy for this analysis? Can I take into account missing data without loosing observations?
Are there any examples available for this kind of mixture data using MPlus?
Many thanks,
Gaurav |
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| You can check out the October 2006 issue of American Sociological Review by Wagmiller et al. for an example of repeated measures of poverty using LCA. |
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| LCA groups people. EFA groups variables. So it sounds like LCA would best meet your goals. You would need the Base Program and the Mixture Add-On to do this. Missing data estimation is available. Chapter 7 of the Mplus User's Guide contains example of LCA. |
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