Thanks, Achim and Richard, I will take into consideration your solutions. Best,
On Tue, Dec 9, 2014 at 11:36 PM, Achim Zeileis <achim.zeil...@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 <munevver.r...@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]] >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> 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@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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. >> >> [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.