Thank you so much Phil,
I will try that.
Best
On Wed, Dec 10, 2014 at 9:42 PM, Phil Chalmers <rphilip.chalm...@gmail.com>
wrote:
> As well, the mirt package contains a function for DIF using likelihood
> ratio tests via multiple-group estimation methods (the multiple group
> estimation generally goes beyond simply testing for DIF), as well Wald
> tests if the information matrix was computed. Hope that helps.
>
> Phil
>
> On Wednesday, December 10, 2014 2:20:51 PM UTC-5, munevver kaya wrote:
>>
>> Thanks, Achim and Richard,
>> I will take into consideration your solutions.
>> Best,
>>
>> On Tue, Dec 9, 2014 at 11:36 PM, Achim Zeileis <achim....@uibk.ac.at>
>> wrote:
>>
>> > On Tue, 9 Dec 2014, Richard M. Heiberger wrote:
>> >
>> > I recommend the likert() function in the HH package.
>> >>
>> >> install.packages("HH")
>> >> library(HH)
>> >> ?likert
>> >>
>> >
>> > I think this only visualizes the polytomous items but provides no
>> formal
>> > inference for IRT modeling and DIF testing.
>> >
>> > For fitting polytomous IRT models (PCM, RSM, etc.) there are various R
>> > packages available, probably most prominently the "eRm" package. This
>> also
>> > includes several tests for DIF. But many other approaches are also
>> > available (including the "lordif" package). A good first overview is
>> given
>> > in the Psychometrics task view on CRAN, see: http://CRAN.R-project.org/
>> > view=Psychometrics
>> >
>> > hth,
>> >
>> > Z
>> >
>> >
>> >>
>> >> On Tue, Dec 9, 2014 at 3:22 AM, munevver kaya <munevv...@gmail.com>
>> >> wrote:
>> >>
>> >>> Hello,
>> >>> I will analyze polytomous differential item functioning for IRT. I
>> have a
>> >>> Likert type scale. For example, I want to analyze items in term of
>> >>> gender.
>> >>> Is lordifsufficient for this or are there any other packages in R
>> >>> programme?
>> >>> Best Regards,
>> >>>
>> >>> [[alternative HTML version deleted]]
>> >>>
>> >>> ______________________________________________
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>> >>> posting-guide.html
>> >>> and provide commented, minimal, self-contained, reproducible code.
>> >>>
>> >>
>> >> ______________________________________________
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>> >> and provide commented, minimal, self-contained, reproducible code.
>> >>
>> >>
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> r-h...@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>> 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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