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Livestream Seminar

Item Response Theory

A 3-Day Livestream Seminar Taught by

Tenko Raykov
Course Dates:

Thursday, September 8 –
Saturday, September 10, 2022

Schedule: All sessions are held live via Zoom.

10:00am-12:30pm ET (New York time)
1:30pm-4:00pm ET Thursday, 1:30pm-3:30pm ET Friday & Saturday

Behavioral, social, educational, biomedical, business, and marketing scientists are frequently involved in the evaluation, development, and revision of multiple-component measuring instruments, such as tests, scales, inventories, questionnaires, surveys, self-reports, testlets, subscales, etc. Scores obtained from them are often employed in various analyses addressing substantive research questions.

The quality of these instruments and resulting individual parameter estimates determine the extent to which the subsequent analyses and modeling efforts can be trusted. To ensure high quality of the measuring instruments, researchers must carefully study their psychometric properties and engage in possibly multiple revisions of them.

This seminar provides a thorough introduction to Item Response Theory (IRT, Item Response Modeling, IRM). It covers many topics at the introductory to intermediate levels, as well as several more advanced topics. Throughout the course, numerous empirical examples are utilized from the educational, behavioral, and social sciences.

Starting September 8, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. Participants are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if they are unable to attend at the scheduled time.

*We understand that scheduling is difficult during this unpredictable time. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions.

More details about the course content

Computing

Who should register?

Seminar outline

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“Tenko is a very experienced researcher in IRT and extremely knowledgeable."

“Tenko is a very experienced researcher in IRT and extremely knowledgeable. He gives good explanations and has good examples. Thank you. There were also plenty of time for questions.” 

Henrik Hein Lauridsen

University of Southern Denmark 

"It has already proven useful in the development of a novel scale."

“Similar to other courses I have taken at Statistical Horizons, this course provided the requisite tools to apply IRT to my substantive area of research. It has already proven useful in the development of a novel scale. It has moved my career in a positive direction.”

Godfred O. Boateng

UT Arlington

“I think Dr. Raykov was just excellent..."

“I think Dr. Raykov was just excellent. The material was organized and he was just so clear and answered questions thoroughly.”

Kathy Buek

UT System

“I really enjoyed the way that Dr. Raykov presented the information..."

“I really enjoyed the way that Dr. Raykov presented the information from both a theoretical and practical standpoint. The ability to follow along with the notes and workbook, as well as interacting with examples in real-time, really allowed for straightforward engagement with the material. I also really enjoyed that the workshop was general enough to span across disciplines, and that Dr. Raykov provided definitions and alternative terms that would be applicable to multiple fields.”

Sam Cacace

UNC Charlotte

“Dr. Raykov is very knowledgeable in IRT and was very patient to answer questions."

“Dr. Raykov is very knowledgeable in IRT and was very patient to answer questions. The examples are at the right level to me, as a beginner of IRT.”

Jia-Wen Guo

University of Utah