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Apr 24, 2024
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EDRE 7120 - Item Response Theory and Modern Educational Measurement
Introduction to item response theory (IRT) including such topics as test construction, equating, data simulation, differential item functioning, parameter estimation, and computer adaptive testing. Introduction to research topics in educational measurement.
Requisites: EDRE 7200
Credit Hours: 4
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 4.0 lecture
Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to explain the major characteristics of item response theory (IRT) and measurement modeling.
- Students will be able to develop their measurement modeling techniques based on previous knowledge of multiple regression and logistic regression.
- Students will be able to conduct confirmatory factor analysis using computer programs.
- Students will be able to conduct item response theory analysis using computer programs.
- Students will be able to explain latent trait modeling and the purposes of Item Response Theory in measurement.
- Students will be able to explain the purposes of and to apply Item Response Theory methods for test equating, differential item functioning, and Monte Carlo simulations.
- Students will be able to use a computer program (e.g., R, SAS, WinSteps, Mplus, jMetrik, IRTPRO) to enter data and perform descriptive, graphical, and inferential statistical analyses used in Item Response Theory.
- Students will be able to interpret the results from Item Response Theory analyses for estimating both person and item parameters and to use these results to improve tests and test items.
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