> On 15 May 2018, at 07:54 , Ulrik Stervbo <ulrik.ster...@gmail.com> wrote:
> 
> I have no idea, but Google pointed me to this
> https://cran.r-project.org/web/packages/subscore/index.html


She seems to be aware of that package, but I don't see how she infers that it 
does not do what she want. For that, you need to know the theory better than I 
do, but there is both a subscore.Wainer() function with a direct reference to 
the 2001 paper and a CTTsub(...., method="Wainer").

The package description has

"This package enables three sets of subscoring methods within the framework of 
CTT and IRT: Wainer's augmentation method, Haberman's three subscoring methods, 
and Yen's objective performance index (OPI).",

which sort of doesn't exclude the possibility that soem methods are CTT and 
others IRT, but why would you then have two routes to Wainer subscores?

IRT theory is a rather specialized subject, so there are not many experts 
around. It might be one of those cases where you need to spend some effort 
studying both the theory and the code to see how they two match up.

-pd

> 
> Hth
> Ulrik
> 
> "Hyunju Kim" <asdfg4...@yonsei.ac.kr> schrieb am Di., 15. Mai 2018, 07:21:
> 
>> 
>> 
>> 
>> Hello,
>> 
>> 
>> 
>> I want to compute  Wainer et al's augmented subscore(2001) using IRT but I
>> can't find any packages or relevant code.
>> 
>> There is a 'subscore' package in R, but I think it only gives functions to
>> calculate augmented subscores using CTT(classical test theory).
>> 
>> Is there other package or code to compute subscores using IRT? If it is
>> not, is there any plan to develop it in short period?
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> Best regards,
>> 
>> Hyunju Kim
>> 
>>        [[alternative HTML version deleted]]
>> 
>> ______________________________________________
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>> and provide commented, minimal, self-contained, reproducible code.
>> 
> 
>       [[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> and provide commented, minimal, self-contained, reproducible code.

-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: pd....@cbs.dk  Priv: pda...@gmail.com

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