[Prevscilist] FW: Item Response Theory Course Offering

[Prevention Science Program]

Hello all, please see the below message from Dr. Cengiz Zopluoglu, regarding an upcoming course, EDLD 661: Item Response Theory. Students are asked to please contact him if interested in taking this course during AY25-26.

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Begin forwarded message:
From: Cengiz Zopluoglu
Date: April 3, 2025 at 12:13:42 PM PDT
Subject: Item Response Theory Course Offering

I am planning to offer EDLD 661: Item Response Theory in the College of Education during the next academic year. The course was last taught in Fall 2022 and has not been offered since. To help with planning, I am conducting a brief survey to gauge student interest.
Could you please share this message with faculty and graduate students in the Prevention Science doctoral program?
If any students are interested in enrolling in the course, I would appreciate it if they could email me directly at cengiz at uoregon.edu<mailto:cengiz at uoregon.edu> to indicate their interest by April 21, 2025.
Thank you in advance for your help.
cengiz
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Course Name: Item Response Theory

UO Course Number: EDLD 661

Credit hours: 3

Course Overview: Item Response Theory is a doctoral-level course designed to introduce students to the theory and application of modern psychometric models used in educational and psychological measurement. This course emphasizes understanding the probabilistic modeling of test performance as an interaction between item characteristics and respondent traits. Students will explore key IRT models—particularly unidimensional Rasch models—along with their assumptions, properties, and estimation methods. Through hands-on experience with real datasets and statistical software, students will learn to conduct IRT analyses, interpret model parameters, and apply results to address practical measurement challenges.
Primary Texts: Wilson, M. (2023). Constructing measures: An item response modeling approach (2nd ed.). Routledge.
Primary Software: R and R packages (TAM, mirt, eRM). Students are expected to have a basic proficiency in R and work with RStudio or their choice of IDE for R.
Course Schedule Draft: Please look at the attachment for the planned content for a 10-week course.

Instructor information: Dr. Cengiz Zopluoglu is a faculty member in the Special Education doctoral program at the University of Oregon. He specializes in quantitative methods and psychometric theory, with a strong research focus on item response theory (IRT) and its applications. Dr. Zopluoglu has published extensively in this area and brings significant instructional experience, having taught IRT for five years at the University of Miami before his current appointment at the University of Oregon.
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