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Vista, Alvin – European Journal of Educational Research, 2019
Cheating detection is an important issue in standardized testing, especially in large-scale settings. Statistical approaches are often computationally intensive and require specialised software to conduct. We present a two-stage approach that quickly filters suspected groups using statistical testing on an IRT-based answer-copying index. We also…
Descriptors: Cheating, Identification, Computer Software, Standardized Tests
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
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Zhang, Jinming – Psychometrika, 2007
This paper extends the theory of conditional covariances to polytomous items. It has been proven that under some mild conditions, commonly assumed in the analysis of response data, the conditional covariance of two items, dichotomously or polytomously scored, given an appropriately chosen composite is positive if, and only if, the two items…
Descriptors: Grade 4, National Competency Tests, Test Items, Grade 8
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Pomplun, Mark; Omar, Hafidz; Custer, Michael – Educational and Psychological Measurement, 2004
The present study compares vertical scaling results for the Rasch model from BILOG-MG and WINSTEPS. The item and ability parameters for the real and simulated mathematics tests were scaled across five grades, second to sixth. The simulated data were based on real data for a series of mathematics tests for Grades 2 to 6. The results from WINSTEPS…
Descriptors: Elementary Education, Scaling, Mathematics Tests, Item Response Theory