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778—Item Response Theory. [=EDRM 828](3) (Prereq: EDRM 711 or PSYC 710 or STAT 701 or STAT 704) Statistical models for item response theory, Rasch and other models for binary and polytomous data, and applications. Use of statistical software.

Course Homepage: Spring 2006

Usually Offered: Odd Springs and Alternate Even Springs

Purpose: Upon completion of the course the students will be familiar with the major concepts and theoretical issues in item response theory. They will possess the needed technical knowledge to directly consult the more applied research journals in the field at the level expected of a practitioner. They will have the background to continue their studies in a reading course preparing them to utilize the more theoretical journals in the field and to conduct research.

Current Textbook: Hambleton, R.K., Swaminathan, H., & Rogers, H.J. (1991). Fundamentals of item response theory. Newbury Park: Sage.

 
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Topics Covered
Chapters
Time        
Process of Measurement, Classical Test Theory, and Classical Item Analysis
1
1.5 weeks
Dichotomous Item Response Theory Models
2
2 weeks
Polytomous Item Response Theory Models
-
1 week
Estimation of Item Response Theory Models
3, 5-7
3 weeks
Model Fit
4
1 week
Multidimensional Models and Dimensionality Assessment 2 weeks
Differential item functioning
8
1 week
Test equating and Linking
9
1 week
Advanced Topics: Computer Adaptive Testing, Cognitive Models, IRT Model Building
10, 11
1.5 weeks

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: Huynh Huynh, Brian Habing
(Last Updated: January 18th, 2006)

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