[R] how to construct an index or classify the cases with the combination of categorical and continuous variables
Dimitris Rizopoulos
dimitris.rizopoulos at med.kuleuven.be
Mon Dec 5 18:11:46 CET 2005
there are possibilities to analyze such kind of data under an IRT
framework, e.g., look at
Moustaki, I. (1996). A latent trait and a latent class model for mixed
observed variables. British Journal of Mathematical and Statistical
Psychology, 49
Moustaki, I. and Knott, M. (2000). Generalised Latent Trait Models.
Psychometrika, 2000, 65, 391-411
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://www.med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
----- Original Message -----
From: "ronggui" <042045003 at fudan.edu.cn>
To: <r-help at stat.math.ethz.ch>
Sent: Monday, December 05, 2005 5:34 PM
Subject: [R] how to construct an index or classify the cases with the
combination of categorical and continuous variables
>I have such a dataset.
> x1 x2 x3 x4
> 1 1 0 2
> 0 1 1 10
> 1 0 1 30
> ......
>
> x1,x2,x3 are categorical variable(the value can be 0 or 1),and x4 is
> a continuous variable.
> x1,x2,x3,x4 is the manifest(measurable) variables which reflect one
> immeasurable variable.
> If all of x1-x4 are continuous variables,I can do factor analysis to
> extract the immeasurable "variable",but some of them are categorical
> variable which violate the assumptions of factor analysis.So is
> there anyway to extract the immeasurable "variable" or construct an
> index based on these variable?
>
> If NOT,then is there any way to classify the cases in to two
> categories? If all the variables are binary,I can use latent class
> analysis to do it,but how about binary variables plus countinuous
> variables?
>
> It is not a R question,I just want some one help me out!
> Thank you !
>
>
> 2005-12-06
>
> ------
> Deparment of Sociology
> Fudan University
>
> My new mail addres is ronggui.huang at gmail.com
> Blog:http://sociology.yculblog.com
>
>
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