Results 11 to 20 of about 108,086 (263)
The Q-Matrix Anchored Mixture Rasch Model [PDF]
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
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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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]
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
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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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
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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Rasch model is a method that has a long history in its application in the fields of social and behavioral sciences, including educational measurement.
Bahrul Hayat +2 more
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Diagnostic classification models (DCMs) are statistical models with discrete latent variables (so-called skills) to analyze multiple binary variables (i.e., items).
Alexander Robitzsch
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APPLICATION OF THE RASCH MODEL ON THE TEST INSTRUMENT TO ANALYZE THE PROBLEM-SOLVING ABILITY OF STUDENTS IN ACID-BASE SOLUTIONS MATERIALS Abstract In 21st century education, students are required to have high problem-solving skills.
Nurkintan Aprilia +5 more
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KIDSCREEN-10 is a generic instrument for measuring global health-related quality of life among 8-18-year-old children and adolescents. This study examines the criterion-related construct validity and psychometric properties of the Danish language version
Tine Nielsen +5 more
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