ITEM RESPONSE THEORY METHODS AND APPLICATIONS
An introduction to item response theory (IRT) as a theory of measurement in the social sciences. Examine in detail the quantitative foundations of this approach to measurement, and contrast it to related techniques (classical test theory, factor analysis) considered as alternative statistical theories for measurement. Thoroughly examine the fundamental dichotomous and polytomous IRT models as well as their multidimensional extensions. Review estimation techniques, focusing especially on maximum likelihood and Bayesian estimation methods. Discuss the many applications of IRT methodology, including test construction, development of short forms, appropriateness measurement, linking and equating methodologies, differential item functioning, and computerized adaptive/multi-stage testing. Covers contemporary innovations in IRT modeling, including the integration of process-related data (e.g., response times, action sequences) and models for novel item formats.
Prerequisites & course information
Requisites: ED PSYCH 761 or PSYCH 610 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2020 Learning Outcomes: 1. Acquire a strong foundation in current and past theories, research findings, and methodologies in their program area. Audience: Graduate 2. Utilize critical thinking skills to synthesize existing knowledge, evaluate strengths and limitations in existing theory and research. Audience: Graduate 3. Identify issues in need of additional inquiry including conceptual and methodological approaches available to address these issues. Audience: Graduate Learning Outcomes: 1. Acquire a strong foundation in current and past theories, research findings, and methodologies in their program area. Audience: Graduate 2. Utilize critical thinking skills to synthesize existing knowledge, evaluate strengths and limitations in existing theory and research. Audience: Graduate 3. Identify issues in need of additional inquiry including conceptual and methodological approaches available to address these issues. Audience: Graduate
Sources
- Course catalogue ↗2026-2027