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Dimitrov, Dimiter M.; Atanasov, Dimitar V. – Measurement: Interdisciplinary Research and Perspectives, 2021
This study offers an approach to test equating under the latent D-scoring method (DSM-L) using the nonequivalent groups with anchor tests (NEAT) design. The accuracy of the test equating was examined via a simulation study under a 3 × 3 design by two conditions: group ability at three levels and test difficulty at three levels. The results for…
Descriptors: Equated Scores, Scoring, Test Items, Accuracy
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Emily K. Toutkoushian; Huaping Sun; Mark T. Keegan; Ann E. Harman – Measurement: Interdisciplinary Research and Perspectives, 2024
Linear logistic test models (LLTMs), leveraging item response theory and linear regression, offer an elegant method for learning about item characteristics in complex content areas. This study used LLTMs to model single-best-answer, multiple-choice-question response data from two medical subspecialty certification examinations in multiple years…
Descriptors: Licensing Examinations (Professions), Certification, Medical Students, Test Items
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Peabody, Michael R.; Wind, Stefanie A. – Measurement: Interdisciplinary Research and Perspectives, 2019
Differential Item Functioning (DIF) detection procedures provide validity evidence for proposed interpretations of test scores that can help researchers and practitioners ensure that test scores are free from potential bias, and that individual items do not create an advantage for any subgroup of examinees over another. In this study, we use the…
Descriptors: Item Response Theory, Test Items, Scores, Testing
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Marcoulides, Katerina M. – Measurement: Interdisciplinary Research and Perspectives, 2018
This study examined the use of Bayesian analysis methods for the estimation of item parameters in a two-parameter logistic item response theory model. Using simulated data under various design conditions with both informative and non-informative priors, the parameter recovery of Bayesian analysis methods were examined. Overall results showed that…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Difficulty Level
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Ketterlin-Geller, Leanne R.; Shivraj, Pooja; Basaraba, Deni; Yovanoff, Paul – Measurement: Interdisciplinary Research and Perspectives, 2019
Diagnostic assessments are intended to support teachers' instructional decision making by providing instructionally relevant information. In this article, we propose that using cognitive theories of learning to design diagnostic assessments can provide teachers with two diagnostic outcomes: (a) the location of a student's thinking within the…
Descriptors: Diagnostic Tests, Learning Theories, Test Construction, Learning Processes
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Goldhammer, Frank – Measurement: Interdisciplinary Research and Perspectives, 2015
The main challenge of ability tests relates to the difficulty of items, whereas speed tests demand that test takers complete very easy items quickly. This article proposes a conceptual framework to represent how performance depends on both between-person differences in speed and ability and the speed-ability compromise within persons. Related…
Descriptors: Ability, Aptitude Tests, Reaction Time, Test Items
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Maris, Gunter; Bechger, Timo – Measurement: Interdisciplinary Research and Perspectives, 2009
This paper addresses two problems relating to the interpretability of the model parameters in the three parameter logistic model. First, it is shown that if the values of the discrimination parameters are all the same, the remaining parameters are nonidentifiable in a nontrivial way that involves not only ability and item difficulty, but also the…
Descriptors: Item Response Theory, Models, Ability, Test Items