[USFTSA.com] Item Response Theory offered in Fall semester 2008

[Chen, Yi-Hsin]

Dear all,
 
The course, named Item Response Theory (IRT), will be offered in the Fall semester, 2008 by the Department of Educational Measurement and Research in the College of Education. IRT is the most popular and powerful test theory that can apply to diverse fields, such education, psychology, business....  As long as you use questionnaire to collect data, IRT can help you conduct many studies, from item/test analysis to outcome analysis. The more detailed description of this course is presented below and in the attached file.
If you have further concerns and questions, please feel free to contact me at 813-974-4964 or ychen at coedu.usf.edu
 
Very best,
Yi-hsin
 
Yi-Hsin Chen, Ph.D.
Assistant Professor
Department of Educational Measurement and Research
College of Education
4202 East Fowler Avenue, EDU162
Tampa, Florida 33620-7750
Office: EDU 362
Phone: (813) 974-4964 (O)
Email: ychen at coedu.usf.edu
Webpage: http://www.coedu.usf.edu/ychen
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Item Response Theory: EDF 7439-901 (REF # 84428)
 
A 3-credit hour course offered by the College of Education's
Educational Measurement & Research Department
Open to students from other departments and colleges.
Fall Semester, 2008
Tuesdays, 5:15 - 8:00 P.M.
 
The primary purpose of the course is to introduce students to the terminologies, models, and computer programs of item response theory (IRT) and further apply them to educational and psychological test
data. The emphasis will be on models and applications most frequently used in social science research, especially in the fields of education and psychology. Computer applications of the models and procedures will be integrated into the course.
 
In the theory part, topics will include:
?Binary IRT models for dichotomously scored data, such as 1-PL, 2-PL, and 3-PL models.
?Polytomous IRT models for multiple-category types of item-response data.
?Estimation procedures of item and ability parameters.
 
In the application part, topics will include:
? Dimensionality Testing, Test Equating, Differential Item Functioning (DIF), Test Construction, and Computerized Adaptive Testing (CAT).
? IRT computer programs, such as TESTFACT, BILOG-MG, and MULTILOG.
? Cognitive Assessment, Personality Assessment, and Attitude Assessment.
? Cognitively Diagnostic Assessment (CDA), such as Logistic Linear Test Model (LLTM) and Tatsuoka's Rule-Space Methodology (RSM) 
 
Course components will include lectures, discussion, primary and secondary readings; demonstrations of computer software; and, computer lab work conducting data analyses.  Evaluation will be based primarily on homework and class projects.
 
For more information contact: Dr. Yi-Hsin Chen at (813) 974-4964 or ychen at coedu.usf.edu
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