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 Gaurav Siddhu posted on Wednesday, May 30, 2007 - 6:12 am
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,
 Jennifer Moren Cross posted on Wednesday, May 30, 2007 - 12:16 pm
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.
 Linda K. Muthen posted on Monday, June 04, 2007 - 10:52 am
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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