MS Defense by Yan Yan

Event Details
  • Date/Time:
    • Wednesday September 9, 2020 - Thursday September 10, 2020
      12:00 pm - 1:59 pm
  • Location: REMOTE: BLUE JEANS
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  • URL: BlueJeans Link
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Summary Sentence: Vertical Equating with Longitudinal Data: Unidimensional and Multidimensional Item Response Theory Models

Full Summary: No summary paragraph submitted.

Name: Yan Yan

Master’s Thesis Defense Meeting
Date: Wednesday, September 9, 2020
Time: 12:00pm
Location: Virtual,
Susan E. Embretson, Ph.D. (Georgia Tech)
Thesis Committee Members:
Susan E. Embretson, Ph.D. (Georgia Tech)
James S. Roberts, Ph.D. (Georgia Tech)
Michael D. Hunter, Ph.D. (Georgia Tech)
Title: Vertical Equating with Longitudinal Data: Unidimensional and Multidimensional Item Response Theory Models 


Abstract: Vertical equating is one context in which item response theory (IRT) model fit is important to evaluate and the measurement of change in students’ performance between test occasions is a central topic in educational research and assessment. The aim of the study presented here is to examine the performances of several multidimensional (MRMLC and SLTM) and unidimensional (Rasch and 2PL) IRT models on linking item parameters in a longitudinal design, in which there are no common items across the occasions. Both an empirical study with real data and a simulation study were conducted. It was found that the multidimensional IRT models for learning and change yielded more plausible results for equating and they have certain advantages over the standard unidimensional IRT models. 


Additional Information

In Campus Calendar

Graduate Studies

Invited Audience
Public, Graduate students, Undergraduate students
ms defense
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Aug 31, 2020 - 11:25am
  • Last Updated: Aug 31, 2020 - 11:26am