[R] Smartest way to evaluate question forms

[vlasto]

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.
> 
> 

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