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Observed Items with Mixed Measurement... |
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Jun Xu posted on Tuesday, October 07, 2008 - 7:49 am
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Dr. Muthen, I am working a data-reduction project. I have about 30 countries, each with a series of binary indicators and some ratio variables bounded between 0 and 1 (e.g., educational expenses as percent of GDP). I intend to find latent classes based on these indicators. Based on the readings that I had, LCA only applies to categorical or ordinal indicators, not a mixture of these indicators. Does MPlus tackle this problem and/or can you point me to some relevant references. Thanks. Jun Xu, Ph.D. Assistant Professor Department of Sociology Ball State University Muncie, IN 47306 |
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In Mplus, the latent class indicators can be continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. |
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Jun Xu posted on Tuesday, October 07, 2008 - 8:59 am
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Dr. Muthen, Thanks for your answer. Another concern that I have before plunging into MPlus is sample size. Is 30 observations with about 6-8 variables a large enough sample size for the EM algorithm. Or you would suggest I go on another route? Jun |
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That seems like a very small sample to use to look for latent classes. |
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