DOI

10.17077/etd.w4gp-27dt

Document Type

Dissertation

Date of Degree

Spring 2019

Degree Name

PhD (Doctor of Philosophy)

Degree In

Psychological and Quantitative Foundations

First Advisor

Lee, Won-Chan

First Committee Member

Aloe, Ariel M.

Second Committee Member

LeBeau, Brandon C.

Third Committee Member

Malatesta, Jaime L.

Fourth Committee Member

Srivastava, Sanvesh

Abstract

For equating tests that measure several distinct proficiencies, procedures that reflect the multidimensional structure of the data are needed. Although there exist a few equating procedures developed under the multidimensional item response theory (MIRT) framework, there is a need for further research in this area. Therefore, the primary objectives of this dissertation are to consolidate and expand MIRT observed score equating research with a specific focus on the common-item nonequivalent groups (CINEG) design, which requires scale linking. Content areas and item types are two focal points of dimensionality. This dissertation uses two studies with different data types and comparison criteria to address the research objectives.

In general, a comparison between unidimensional item response theory (UIRT) and MIRT methods suggested a better performance of the MIRT methods over UIRT. The simple structure (SS) and full MIRT methods showed more accurate equating results compared to UIRT. In terms of calibration methods, concurrent calibration outperformed separate calibration for all equating methods under most of the studied conditions.

Keywords

Equating, Linking, Multidimensional Item Response Theory

Pages

x, 183 pages

Bibliography

Includes bibliographical references (pages 167-173).

Copyright

Copyright © 2019 Jiwon Choi

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