[R] SF-8 (not 36) questionnaire scoring for R?
peter dalgaard
pdalgd at gmail.com
Mon Sep 13 17:15:46 CEST 2010
On Sep 13, 2010, at 15:59 , Joshua Wiley wrote:
> If it's not possible to use their particular algorithms, does anyone
> think it would be helpful/practical to try to write a general scoring
> system? I imagine a function with arguments for column names, a list
> where each element is a vector that indicates the numbers that
> correspond to various subscales, an argument that could handle any
> reverse scoring, etc.
>
> I am willing to have a go at this if people think it would be
> worthwhile (read: if someone wiser than me thinks it is not a waste of
> time).
>
I don't think that's the issue at all. It is a matter of being able to say that you did it "The Standard Way" (i.e. their way, by the book/manual) or not. It really doesn't matter how trivial the procedure is, or even whether it is the right thing to do. Even if you do a complete clean-room implementation of their scoring system, they can claim either that what you do is not SF-36 or if you say that it is, that you owe them money.
> Josh
>
>
> On Mon, Sep 13, 2010 at 6:19 AM, Marc Schwartz <marc_schwartz at me.com> wrote:
>> On Sep 13, 2010, at 8:13 AM, Frank Harrell wrote:
>>
>>>
>>> I know someone who has R code for SF-36 and perhaps SF-12. Aren't there
>>> copyright issues relating to SF-* even if it is reprogrammed?
>>> Frank
>>
>>
>> Yep...
>>
>> http://www.qualitymetric.com/RequestInformation/SurveyInformationRequestDemo/tabid/263/Default.aspx
>>
>> HTH,
>>
>> Marc Schwartz
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> Joshua Wiley
> Ph.D. Student, Health Psychology
> University of California, Los Angeles
> http://www.joshuawiley.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.
--
Peter Dalgaard
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com
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