tristanz / OpenIRT (http://people.fas.harvard.edu/~tzajonc/openirt.html)
Bayesian and Maximum Likelihood Estimation of Item Response Theory (IRT) Models
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| parent 21: | 1ede0f593ce5 |
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Stata/openirt.pkg (12 lines added, 12 lines removed)
Up to file-list Stata/openirt.pkg:
| … | … | @@ -3,23 +3,23 @@ d openirt. Bayesian and Maximum Likeliho |
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d Tristan Zajonc (tristanz@gmail.com). |
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d |
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d OpenIRT estimates 2PL and 3PL Item Response Theory (IRT) models for dichotomous data. |
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It includes Bayesian MCMC estimation of item parameters and abilities, and maximum |
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likelihood ability estimates. The Bayesian methods includes both expected |
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posterior (EAP) and plausible values (PV) ability and item parameter estimates. |
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d It includes Bayesian MCMC estimation of item parameters and abilities, and maximum |
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d likelihood ability estimates. The Bayesian methods includes both expected |
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d posterior (EAP) and plausible values (PV) ability and item parameter estimates. |
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d |
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d OpenIRT is designed to be flexible. It allows any combination of items, abilities, |
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and responses to be missing. For instance, fixed anchor items can be used to place |
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children and items on a known scale; missing responses can be used to link multiple |
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overlapping test forms; and known abilities can be used to calibrate new items |
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and abilities parameters. |
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d and responses to be missing. For instance, fixed anchor items can be used to place |
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d children and items on a known scale; missing responses can be used to link multiple |
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d overlapping test forms; and known abilities can be used to calibrate new items |
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d and abilities parameters. |
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f openirt.ado |
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f openirt.sthlp |
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g WIN OpenIRT.exe openirt.exe |
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g MAC openirt_osx openirt.exe |
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g MACINTEL openirt_osx openirt.exe |
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g MACINTEL64 openirt_osx openirt.exe |
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G WIN OpenIRT.exe openirt.exe |
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G MAC openirt_osx openirt.exe |
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G MACINTEL openirt_osx openirt.exe |
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G MACINTEL64 openirt_osx openirt.exe |
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G LINUX openirt_linux openirt.exe |
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F openirt.ini |
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F naep_children.dta |
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F naep_items.dta |