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Kim, Stella Y.; Lee, Won-Chan – Journal of Educational Measurement, 2023
The current study proposed several variants of simple-structure multidimensional item response theory equating procedures. Four distinct sets of data were used to demonstrate feasibility of proposed equating methods for two different equating designs: a random groups design and a common-item nonequivalent groups design. Findings indicated some…
Descriptors: Item Response Theory, Equated Scores, Monte Carlo Methods, Research Methodology
Kim, Stella Y.; Lee, Won-Chan; Kolen, Michael J. – Educational and Psychological Measurement, 2020
A theoretical and conceptual framework for true-score equating using a simple-structure multidimensional item response theory (SS-MIRT) model is developed. A true-score equating method, referred to as the SS-MIRT true-score equating (SMT) procedure, also is developed. SS-MIRT has several advantages over other complex multidimensional item response…
Descriptors: Item Response Theory, Equated Scores, True Scores, Accuracy
Kim, Hyung Jin; Brennan, Robert L.; Lee, Won-Chan – Journal of Educational Measurement, 2020
In equating, smoothing techniques are frequently used to diminish sampling error. There are typically two types of smoothing: presmoothing and postsmoothing. For polynomial log-linear presmoothing, an optimum smoothing degree can be determined statistically based on the Akaike information criterion or Chi-square difference criterion. For…
Descriptors: Equated Scores, Sampling, Error of Measurement, Statistical Analysis
Kim, Kyung Yong; Lim, Euijin; Lee, Won-Chan – International Journal of Testing, 2019
For passage-based tests, items that belong to a common passage often violate the local independence assumption of unidimensional item response theory (UIRT). In this case, ignoring local item dependence (LID) and estimating item parameters using a UIRT model could be problematic because doing so might result in inaccurate parameter estimates,…
Descriptors: Item Response Theory, Equated Scores, Test Items, Models
Software Review of IRTEQ, STUIRT, and POLYEQUATE for Item Response Theory Scale Linking and Equating
Malatesta, Jaime; Lee, Won-Chan – Measurement: Interdisciplinary Research and Perspectives, 2019
This article reviews several software programs designed to conduct item response theory (IRT) scale linking and equating. The programs reviewed include IRTEQ, STUIRT, and POLYEQUATE. Features and functionalities of each program are discussed and an example analysis using the common-item non-equivalent groups design in IRTEQ is provided.
Descriptors: Item Response Theory, Equated Scores, Computer Software, Computer Interfaces
Lim, Euijin; Lee, Won-Chan – Applied Measurement in Education, 2020
The purpose of this study is to address the necessity of subscore equating and to evaluate the performance of various equating methods for subtests. Assuming the random groups design and number-correct scoring, this paper analyzed real data and simulated data with four study factors including test dimensionality, subtest length, form difference in…
Descriptors: Equated Scores, Test Length, Test Format, Difficulty Level
Kim, Hyung Jin; Brennan, Robert L.; Lee, Won-Chan – Journal of Educational Measurement, 2017
In equating, when common items are internal and scoring is conducted in terms of the number of correct items, some pairs of total scores ("X") and common-item scores ("V") can never be observed in a bivariate distribution of "X" and "V"; these pairs are called "structural zeros." This simulation…
Descriptors: Test Items, Equated Scores, Comparative Analysis, Methods
Lee, Guemin; Lee, Won-Chan – Applied Measurement in Education, 2016
The main purposes of this study were to develop bi-factor multidimensional item response theory (BF-MIRT) observed-score equating procedures for mixed-format tests and to investigate relative appropriateness of the proposed procedures. Using data from a large-scale testing program, three types of pseudo data sets were formulated: matched samples,…
Descriptors: Test Format, Multidimensional Scaling, Item Response Theory, Equated Scores
Brossman, Bradley G.; Lee, Won-Chan – Applied Psychological Measurement, 2013
The purpose of this research was to develop observed score and true score equating procedures to be used in conjunction with the multidimensional item response theory (MIRT) framework. Three equating procedures--two observed score procedures and one true score procedure--were created and described in detail. One observed score procedure was…
Descriptors: Equated Scores, True Scores, Item Response Theory, Mathematics Tests
Lee, Eunjung; Lee, Won-Chan; Brennan, Robert L. – College Board, 2012
In almost all high-stakes testing programs, test equating is necessary to ensure that test scores across multiple test administrations are equivalent and can be used interchangeably. Test equating becomes even more challenging in mixed-format tests, such as Advanced Placement Program® (AP®) Exams, that contain both multiple-choice and constructed…
Descriptors: Test Construction, Test Interpretation, Test Norms, Test Reliability
Lee, Won-Chan; Ban, Jae-Chun – Applied Measurement in Education, 2010
Various applications of item response theory often require linking to achieve a common scale for item parameter estimates obtained from different groups. This article used a simulation to examine the relative performance of four different item response theory (IRT) linking procedures in a random groups equating design: concurrent calibration with…
Descriptors: Item Response Theory, Simulation, Comparative Analysis, Measurement Techniques
Wang, Tianyou; Lee, Won-Chan; Brennan, Robert L.; Kolen, Michael J. – Applied Psychological Measurement, 2008
This article uses simulation to compare two test equating methods under the common-item nonequivalent groups design: the frequency estimation method and the chained equipercentile method. An item response theory model is used to define the true equating criterion, simulate group differences, and generate response data. Three linear equating…
Descriptors: Equated Scores, Item Response Theory, Simulation, Comparative Analysis