IP&T 754

Download as PDF

Item Response Theory

Instructional Psychology and Technology David O. McKay School of Education

Course Description

Concepts, models, and assumptions in IRT, including trait and parameter estimation, scale properties, assessment of model fit, and the use of computer software. Emphasizes applications of IRT to practical testing problems including test construction and revision, adaptive testing, differential item functioning, score equating, vertical scaling, and model-based diagnostic assessment.

When Taught

Winter

Min

3

Fixed/Max

3

Fixed

3

Fixed

0

Title

Contrast IRT with CTT

Learning Outcome

Contrast item response theory (IRT) with classical test theory (CTT) and explain the advantages, limitations, and principle uses of each in modern applications of educational and psychological measurement.

Title

IRT Understanding

Learning Outcome

Demonstrate a working understanding of the basic concepts and principles of item response theory including: a.    person ability parameters b.     the different kinds of item parameters c.     item response functions d.     information functions and standard errors of estimation e.     the basic dichotomous and polytomous models and the assumption associated with each   f.      procedures for assessing model-data fit g.     commonly used parameter estimation procedures and situations in which the use of each is appropriate or inappropriate

Title

IRT software

Learning Outcome

Demonstrate proficiency in using modern software to conduct IRT analyses to: a.    conduct item test analyses and make recommendations for revising, retaining, or replacing specific items b.     calibrate items for use in computer adaptive tests c.     equate scores from alternate forms of a test d.     create vertically scaled tests e.     detect test items that function differentially for various examinee subgroups f.      determine appropriate cut-scores and/or performance level descriptions g.     implement testlet-based scoring.