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" <[EMAIL PROTECTED]>
To: <[email protected]>
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 [EMAIL PROTECTED]
Blog:http://sociology.yculblog.com
--------------------------------------------------------------------------------
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