[R] recommended package/docs for analyzing multiple choice tests

[Dimitris Rizopoulos]

In ltm (version 0.8-1) you may also check the following functions: 
descript(), cronbach.alpha(), mult.choice()

I hope it helps.

Best,
Dimitris

ps, you may find more information about `ltm' as well as sample 
analysis files at the Rwiki page: 
http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:ltm

----
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://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Doug Holton" <doug00 at gmail.com>
To: <r-help at r-project.org>
Sent: Wednesday, September 19, 2007 2:36 AM
Subject: [R] recommended package/docs for analyzing multiple choice 
tests


> Hi,
>  What package would you recommend for analyzing the
> validity/reliability of multiple choice tests.  Doing things such as
> classical test analysis, factor analysis, item response theory.
>
> I've used psychometric (item.exam), MiscPsycho (alpha.Summary), and 
> ltm
> (rcor.test).  MiscPsycho reported the numbers most similar to what I 
> get
> in SPSS: corrected point biserial correlations, cronbach's alpha.  I
> didn't understand what the psychometric package meant by its
> "discrimination" and "item reliability" numbers output by the 
> item.exam
> function.  Perhaps the former is uncorrected point biserial
> correlations?  They were higher values.  I downloaded and inspected
> the source code for both packages.  It was hard to understand what 
> the
> functions were doing without some comments in the code.
>
> Also, would you recommend a book or resource with examples of using 
> R
> for test analysis.
>
> Thank you, it's been great learning R,
> -Doug
>
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> 


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