[R] Smartest way to evaluate question forms

Tue Aug 5 19:37:03 CEST 2008

This is still too wide-open a question. :)  However there is any number of packages that deal with binary data.  Again it depends on what you want to do with it.  If you just want some scoring of binary data you can do this with tables ( ?tables).  From there you can do about anything you want ( No warrenties implied :) ).

Have look at the various taskviews ( Go to R homepage > CRAN > Select site > Taskviews is in the list on the top left). 

Perhaps you might find something in SocialSciences or Psychometrics 
Some of the Analysis of Categorical and Count Data info in SocialSciences may be appropriate.  

I cannot remember but I think that some of the packages mentioned in the Psychometrics taskview ( psych, psy) may, also, do some of what you want but I'm still guessing at waht you want to do.

Without a decent idea of what the study is doing it is basically impossible to suggest anything.  

Good luck.

--- On Sat, 8/2/08, vlasto <vlasto.pis at gmx.net> wrote:

> From: vlasto <vlasto.pis at gmx.net>
> Subject: Re: [R] Smartest way to evaluate question forms
> To: r-help at r-project.org
> Received: Saturday, August 2, 2008, 6:42 PM
> First of all, thank you for your reply and for the links.
> 
> I see that my problem might be overly detailed in its
> description and not
> very clear in its outlines.
> 
> In fact the question was: If there is any existing module
> for R to evaluate
> data, with parameters being only boolean values. (Which u
> get from answered
> question-forms)
> 
> Evaluate would mean - to uncover any significant
> relationships between the
> sets, with possible user customization
> 
> I agree that in itself it is not a technical R question,
> however I believe
> that it is a very common statistical task (evaluating
> closed question forms)
> that thousands of researchers have to perform every day (in
> medicine, social
> sciences, business, etc..), so I have hoped, that someone
> in the R community
> deemed it to be important enough to write a module for it.
>  
> 
> John Kane-2 wrote:
> > 
> > It really in not an R question.  It's much more
> complicated.
> > 
> > You need to consult with a subject matter specialist
> and a statistical
> > consultant for this. If you do not have access to a
> statistical specialist
> > you might want to ask for advice on the news group 
> sci.stats.consult.  
> > 
> > I'd suggest having the equivalent of an
> introduction and methods section
> > for the study written up and available (say on a handy
> posting site like
> > media fire http://www.mediafire.com/ or mytempdir.com
> > http://www.mytempdir.com ) so that anyone reading your
> posting has some
> > idea of what is the purpose of the study and the
> general details of what
> > was done.
> > 
> > 
> > 
> > 
> > 
> > --- On Fri, 8/1/08, vlasto <vlasto.pis at gmx.net>
> wrote:
> > 
> >> From: vlasto <vlasto.pis at gmx.net>
> >> Subject: [R]  Smartest way to evaluate question
> forms
> >> To: r-help at r-project.org
> >> Received: Friday, August 1, 2008, 10:56 AM
> >> Hi,
> >> I'm trying to help a friend who is doing a
> thesis in a
> >> nurse college, to
> >> evaluate medical question forms.
> >> There are about 30 questions giving more than 110
> >> parameters to describe
> >> each responding person's (gender, health etc.)
> and
> >> there are about 120
> >> question forms to evaluate.
> >> I have basically 2 questions.
> >> 1. What to search for.
> >> 2. How to evaluate it statisticaly.
> >> 
> >> As for No. 1. I have these ideas. 
> >> To search for significant groups. Meaning, that i
> would
> >> like to find all
> >> "significant" groups that have a certain
> criteria
> >> in common. F.e. All men,
> >> that have a good doctor patient relationship. The
> idea is
> >> to fix 1,2,3,4 or
> >> five parameters f.e. white divorced men in their
> 60s and to
> >> look for any
> >> other significant parameters (meaning one or
> multiple) they
> >> have in common
> >> (where I can set some significance boundary)
> >> 
> >> Later on, i would like to look up question forms
> with the
> >> highest number of
> >> common parameters and find the parameters with the
> highest
> >> and lowest rate
> >> of divergence.
> >> Eventually it might be interesting to look for
> some
> >> correlations between 2
> >> and more parameters.
> >> 
> >> As for No. 2 I would like to know if there is a R
> module
> >> having performing
> >> this kind of tasks.
> >> I think the problem could be analyzed by treating
> all the
> >> params as a
> >> binomial tree and then measure length and
> repetition of
> >> certain path
> >> segments
> >> 
> >> I have written a simple prog in VBasic to do the
> first part
> >> of the analysis,
> >> but i would be thankful for any hint or advice
> regarding
> >> this problem,
> >> especially any info about existing solutions with
> R.
> >> -- 
> >> View this message in context:
> >>
> http://www.nabble.com/Smartest-way-to-evaluate-question-forms-tp18776233p18776233.html
> >> Sent from the R help mailing list archive at
> Nabble.com.
> >> 
> >> ______________________________________________
> >> R-help at r-project.org mailing list
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide
> >> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained,
> >> reproducible code.
> > 
> > ______________________________________________
> > R-help at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained,
> reproducible code.
> > 
> > 
> 
> -- 
> View this message in context:
> http://www.nabble.com/Smartest-way-to-evaluate-question-forms-tp18776233p18794139.html
> Sent from the R help mailing list archive at Nabble.com.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained,
> reproducible code.

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