A Comparison of Three IRT Approaches to Examinee Ability Change Modeling in a Single-Group Anchor Test Design

Typically a longitudinal growth modeling based on item response theory (IRT) requires repeated measures data from a single group with the same test design. If operational or item exposure problems are present, the same test may not be employed to collect data for longitudinal analyses and tests at m...

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Bibliographic Details
Published inEducational and psychological measurement Vol. 74; no. 4; pp. 659 - 676
Main Authors Paek, Insu, Park, Hyun-Jeong, Cai, Li, Chi, Eunlim
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.08.2014
SAGE PUBLICATIONS, INC
Subjects
Ability
Achievement Tests
Change
Comparative Analysis
Computation
Correlation analysis
Educational psychology
Equated Scores
Error of Measurement
Foreign Countries
Goodness of Fit
Grade 7
Item Response Theory
Longitudinal Studies
Mathematics Tests
South Korea
Statistical Distributions
Test Items
South Korea
repeated measures data
IRT
MIRT
anchor test design
growth modeling
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Summary:Typically a longitudinal growth modeling based on item response theory (IRT) requires repeated measures data from a single group with the same test design. If operational or item exposure problems are present, the same test may not be employed to collect data for longitudinal analyses and tests at multiple time points are constructed with unique item sets, as well as a set of common items (i.e., anchor test) for a study of examinee growth. In this study, three IRT approaches to examinee growth modeling were applied to a single-group anchor test design and their examinee growth estimates were compared. In terms of tracking individual growth, growth patterns in the examinee population distribution, and the overall model–data fit, results show the importance of modeling the serial correlation over multiple time points and other additional dependence coming from the use of the unique item sets, as well as the anchor test.
ISSN:0013-1644
1552-3888
DOI:10.1177/0013164413507062