I have started exploring potential of R in applying IRT to a dataset. I have a data of about 20k students who took a Maths test, a diagnostic in nature.
I find that I don't get stable solution while using tpm() even after passing an argument "start.val = RANDOM". What should be done in this case to achieve stable solution? The item parameters estimated would not be sensible when the stable solution is not arrived at. However I find that discrimination parameter of one of the item estimated is negative in that case. (I used tpm() from ltm package.) [[alternative HTML version deleted]] ______________________________________________ R-help@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.