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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
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
Monahan, Patrick O.; Lee, Won-Chan; Ankenmann, Robert D. – Journal of Educational Measurement, 2007
A Monte Carlo simulation technique for generating dichotomous item scores is presented that implements (a) a psychometric model with different explicit assumptions than traditional parametric item response theory (IRT) models, and (b) item characteristic curves without restrictive assumptions concerning mathematical form. The four-parameter beta…
Descriptors: True Scores, Psychometrics, Monte Carlo Methods, Correlation
Interval Estimation for True Scores under Various Scale Transformations. ACT Research Report Series.
Lee, Won-Chan; Brennan, Robert L.; Kolen, Michael J. – 2002
This paper reviews various procedures for constructing an interval for an individual's true score given the assumption that errors of measurement are distributed as binomial. This paper also presents two general interval estimation procedures (i.e., normal approximation and endpoints conversion methods) for an individual's true scale score;…
Descriptors: Bayesian Statistics, Error of Measurement, Estimation (Mathematics), Scaling
Lee, Won-Chan; Hanson, Bradley A.; Brennan, Robert L. – Applied Psychological Measurement, 2002
This article describes procedures for estimating various indices of classification consistency and accuracy for multiple category classifications using data from a single test administration. The estimates of the classification consistency and accuracy indices are compared under three different psychometric models: the two-parameter beta binomial,…
Descriptors: Classification, True Scores, Psychometrics, Item Response Theory
Lee, Won-Chan; Brennan, Robert L.; Kolen, Michael J. – Journal of Educational and Behavioral Statistics, 2006
Assuming errors of measurement are distributed binomially, this article reviews various procedures for constructing an interval for an individual's true number-correct score; presents two general interval estimation procedures for an individual's true scale score (i.e., normal approximation and endpoints conversion methods); compares various…
Descriptors: Probability, Intervals, Guidelines, Computer Simulation