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Applications of Item Response Theory


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 of Item Response Theory


Prerequisite

ERSH 8620


Semester Course Offered

Offered every year.


Grading System

A - F (Traditional)


Student learning Outcomes

  • Students will be able to differentiate item response theory from classical test theory.
  • Students will become familiar with item response theory models for both dichotomous and polytomous item response data.
  • Students will know the fields of applications - for example, test construction, test equating/linking, differential item functioning, and adaptive testing.
  • Students will be able to select/use different item response theory models for specific applications.
  • Students will be able to use various item response theory computer programs to analyze test data for specific applications.
  • Students will be able to evaluate current literature of item response theory and its application.
  • Students will be able 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 Construction
  • 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


Public CV