Message-ID: <5.1.0.14.2.20020221110115.01da4670@mcmail.cis.mcmaster.ca>
Date: 2002-02-21T16:08:43Z
From: John Fox
Subject: Factor analysis of categorical or mixed categorical/continuousdata in [R]
In-Reply-To: <008d01c1bac9$7a232140$51d6f380@PMCMG01.nottingham.ac.uk>
At 11:18 AM 2/21/2002 +0000, Dr Stuart Leask wrote:
>I am looking to fit one or more latent categorical variables to data that is
>a mixture of categorical and continuous variables. Factor analysis would
>work for continuous data, latent class analysis for categorical data. I
>understand that in a package such as MPlus I could perform a single analysis
>of both data types. Are there similar routines available in R?
Dear Stuart,
If memory serves me, a common approach is to use tetrachoric correlations
(for dichotomous data), polychoric correlations (for ordered-category
data), and point-biserial and polyserial correlations (for mixed data). If
you want to do inference, then this approach gets complicated (requiring
asymptotic sampling covariances for the correlations), but for a
descriptive factor analysis, it should be reasonably straightforward.
I'm not aware of any facility for calculating these kinds of correlations
in R, but programming them shouldn't be too hard. I may add this at some
point to the sem package.
I hope that this helps,
John
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