This is essentially a statistics question, which are generally off topic here. This list is about the R programming language. Try stats.stackexchange.com instead for your question. To see what R offers once you've decided what to do, see: https://cran.r-project.org/web/views/ as well as searching at rseek.org .
Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Apr 11, 2019 at 2:23 PM kende jan via R-help <r-help@r-project.org> wrote: > > Goodafternoon, > > I amcurrently in the process of calibrating an item bank using a GPCM > model. So, amI right to assume that the bifactor model allows me to work > with my generalfactor by assimilating it to a one-factor model, without > taking into account groupfactors? That is, I can estimate my item > parameters from my factor loadings onthe general factor only? > > If so, Ihave some questions about evaluating the fit of my model. The > calculation of infitstatistics is specific to unidimensional models. Can I > compute infit statisticsusing the general factor or do I have to do this > separately for each of the groupfactors? Or is there a more appropriate > method to evaluate the fit of my modelwhen calibration an item bank using a > GPCM model? > > Thank youin advance. > > > [[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. > [[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.