Course Description
Applications of item response theory (IRT) to practical testing problems, including test equating, differential item functioning, computerized adaptive testing, and test construction. Dichotomous and polytomous item response theory models with strong emphasis on computer applications.
Athena Title
APP ITEM RESP THEOR
Prerequisite
ERSH 8620
Semester Course Offered
Not offered on a regular basis.
Grading System
A - F (Traditional)
Course Objectives
Specific objectives are: 1. To differentiate item response theory from classical test theory. 2. To become familiar with item response theory models for both dichotomous and polytomous item response data. 3. To know the fields of applications, for example, test construction, test equating/linking, differential item functioning, adaptive testing. 4. To be able to select/use different item response theory models for specific applications. 5. To be able to use various item response theroy computer programs to analyze test data for specific applications. 6. To evaluate current literature of item response theory and its application. 7. To write a research proposal in an application area.
Topical Outline
Introduction to Item Response Theory History Dichotomous Models Parameter Estimation Model-Data Fit The Ability Scale Information Function Applications Test Conctruction Equating/Linking Adaptive Testing Polytomous Models Nominal Categories Model Multiple Choice Model Rating Scale Model Graded Response Model Partial Credit Model Generalized Partial Credit Model Special Topics Multiple-Attempt, Single-Item Response Models Linear Logistic Rasch Model Multiple Group Model Computer Lab GENIRV BILOG WINSTEPS FACETS OPLM MULTILOG PARSCALE
Syllabus