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Liao, Xiangyi; Bolt, Daniel M. – Journal of Educational and Behavioral Statistics, 2021
Four-parameter models have received increasing psychometric attention in recent years, as a reduced upper asymptote for item characteristic curves can be appealing for measurement applications such as adaptive testing and person-fit assessment. However, applications can be challenging due to the large number of parameters in the model. In this…
Descriptors: Test Items, Models, Mathematics Tests, Item Response Theory
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Jewsbury, Paul A.; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…
Descriptors: Item Response Theory, Computation, Test Items, Adaptive Testing
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Jiang, Yu; Zhang, Jiahui; Xin, Tao – Journal of Educational and Behavioral Statistics, 2019
This article is an overview of the National Assessment of Education Quality (NAEQ) of China in reading, mathematics, sciences, arts, physical education, and moral education at Grades 4 and 8. After a review of the background and history of NAEQ, we present the assessment framework with students' holistic development at the core and the design for…
Descriptors: Foreign Countries, Educational Quality, Educational Improvement, National Competency Tests
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Camilli, Gregory; Fox, Jean-Paul – Journal of Educational and Behavioral Statistics, 2015
An aggregation strategy is proposed to potentially address practical limitation related to computing resources for two-level multidimensional item response theory (MIRT) models with large data sets. The aggregate model is derived by integration of the normal ogive model, and an adaptation of the stochastic approximation expectation maximization…
Descriptors: Factor Analysis, Item Response Theory, Grade 4, Simulation
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Zhang, Jinming – Journal of Educational and Behavioral Statistics, 2012
The impact of uncertainty about item parameters on test information functions is investigated. The information function of a test is one of the most important tools in item response theory (IRT). Inaccuracy in the estimation of test information can have substantial consequences on data analyses based on IRT. In this article, the major part (called…
Descriptors: Item Response Theory, Tests, Accuracy, Data Analysis
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Soares, Tufi M.; Goncalves, Flavio B.; Gamerman, Dani – Journal of Educational and Behavioral Statistics, 2009
In this article, an integrated Bayesian model for differential item functioning (DIF) analysis is proposed. The model is integrated in the sense of modeling the responses along with the DIF analysis. This approach allows DIF detection and explanation in a simultaneous setup. Previous empirical studies and/or subjective beliefs about the item…
Descriptors: Test Bias, Bayesian Statistics, Models, Item Response Theory