English-Assisted Teaching Evaluation System Based on Artificial Intelligence and Rasch Model [PDF]
Advances in Multimedia, 2022 In order to improve the effect of English teaching in colleges and universities, this paper analyzes the English teaching process and combines the English teaching evaluation system and the Rasch model to construct an English teaching evaluation system ...
Erying Guo, Li Sun
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The Q-Matrix Anchored Mixture Rasch Model [PDF]
Frontiers in Psychology, 2021 Mixture item response theory (IRT) models include a mixture of latent subpopulations such that there are qualitative differences between subgroups but within each subpopulation the measure model based on a continuous latent variable holds.
Ming-Chi Tseng, Wen-Chung Wang
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Regularized Mixture Rasch Model
Information, 2022 The mixture Rasch model is a popular mixture model for analyzing multivariate binary data. The drawback of this model is that the number of estimated parameters substantially increases with an increasing number of latent classes, which, in turn, hinders ...
Alexander Robitzsch
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Author Correction: Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach. [PDF]
Npj Ment Health ResLiao Y +6 more
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An Analysis of the Cognitive Ability of Knowledge Mapping Homeschooling Based on the Rasch Model. [PDF]
Comput Intell Neurosci, 2022 Bai F, Wen Y.
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Professional Identity Scale for Male Nursing Students Using the Rasch Model and Latent Regression on Gender and Background Variables. [PDF]
Healthcare (Basel), 2022 Li R, Lou J.
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The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examination [PDF]
Journal of Educational Evaluation for Health Professions, 2021 Purpose Diagnostic classification models (DCMs) were developed to identify the mastery or non-mastery of the attributes required for solving test items, but their application has been limited to very low-level attributes, and the accuracy and consistency
Dong Gi Seo, Jae Kum Kim
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Analisis Instrumen Tes Menggunakan Rasch Model dan Software SPSS 22.0
Jurnal Inovasi Pendidikan Kimia, 2022 Penelitian ini bertujuan untuk membandingkan perbedaan validitas dan reliabilitas instrumen tes menggunakan Rasch model dan software SPSS 22.0. Penelitian ini merupakan penelitian kualitatif dengan metode deskriptif, yang di ujicobakan kepada 40 ...
Elsa Febrina Tarigan +4 more
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Frontiers in Psychology, 2013 AbstractRasch’s unidimensional models for measurement show how to connect object measures (e.g., reader abilities), measurement mechanisms (e.g., machine-generated cloze reading items), and observational outcomes (e.g., counts correct on reading instruments).
Stenner, A. Jackson +3 more
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A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies
International Journal of Contemporary Educational Research, 2023 Although the Rasch model is used to measure latent traits like attitude or ability where there are multiple latent structures within the dataset it is best to use a technique called the Mixture Rasch Model (MRM) which is a combination of a Rasch model ...
Turker Toker, Kent Seıdel
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