uirt: A command for unidimensional IRT modeling

Bartosz Kondratek ()
Additional contact information
Bartosz Kondratek: Educational Research Institute

Stata Journal, 2022, vol. 22, issue 2, 243-268

Abstract: In this article, I introduce the uirt command, which allows one to estimate parameters of a variety of unidimensional item response theory models (two-parameter logistic model, three-parameter logistic model, graded response model, partial credit model, and generalized partial credit model). uirt has ex- tended item-fit analysis capabilities, features multigroup modeling, allows testing for differential item functioning, and provides tools for generating plausible val- ues with a latent regression conditioning model. I provide examples to illustrate cases where uirt can be especially useful in conducting analyses within the item response theory approach.

Keywords: uirt; uirt_theta; uirt_icc; uirt_dif; uirt_chi2w; uirt_sx2; uirt_esf; uirt_inf; item response theory; item-fit; unidimensional item response theory models; differential item functioning; partial credit model; plausible values (search for similar items in EconPapers)
Date: 2022
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj22-2/st0670/
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0670 link to article purchase

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:22:y:2022:i:2:p:243-268

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X221106368

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().