Hi,
I am pretty new to Stata and IRT. Using IRT 2PL model, I tried to estimate item difficulty and item discrimination parameters. There are 17 items (binary: 1-yes, 0-no) and the sample size is only 31.. I admit the sample size is too small, but anyway I analyzed it and most of item discrimination parameters were negative values. Can anyone explain the negative discrimination? Does it simply mean that I cannot trust the results from a small sample size or that item coding is wrong, etc? Plus, how can I check df for each item?
Thank you in advance!
Related Posts with IRT 2PL parameters
Multicollinearity and VIFI am using the following code xtreg recycling loginc logpopden gcses alevels md11 md12 md13 md14 md1…
Drop variables based on observations Code: +----------------------------------------------------------+ | A B …
Robust standard errors hausman testHi all, Im encountering a problem when trying to run a hausman test with robust standard errors. Iv…
Understanding the coefficients when the first category is dropped for multicollinearity but they are NOT dummy variables.I am running the following fixed effects regression xtreg recycling loginc logpopden age1120 age213…
data manipulation!Dear All, I was asked this question (https://bbs.pinggu.org/forum.php?mod...=1#pid57861683). Suppose…
Subscribe to:
Post Comments (Atom)
0 Response to IRT 2PL parameters
Post a Comment