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Bayesian and Maximum Likelihood Estimation of IRT Models in Stata

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OpenIRT - IRT Models in Stata

OpenIRT estimates 2PL and 3PL Item Response Theory (IRT) models for dichotomous data. It includes Bayesian MCMC estimation of item parameters and abilities, and maximum likelihood ability estimates. The Bayesian methods include both expected posterior (EAP) and plausible values (PV) ability and item parameter estimates.

OpenIRT is designed to be flexible. It allows any combination of items, abilities, and responses to be missing. For instance, fixed anchor items can be used to place children and items on a known scale; missing responses can be used to link multiple overlapping test forms; and known abilities can be used to calibrate new items and ability parameters.

Installation / Usage

In Stata:

. net install http://tristanz.github.io/OpenIRT/openirt.pkg
. help openirt

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MIT

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Bayesian and Maximum Likelihood Estimation of IRT Models in Stata

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