Results 31 to 40 of about 1,527,895 (263)
This paper demonstrates the process of invariance testing in diagnostic classification models in the presence of attribute hierarchies via an extension of the log-linear cognitive diagnosis model (LCDM).
Alfonso J. Martinez, Jonathan Templin
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Modification Indices for Diagnostic Classification Models
This article has been accepted for publication in Multivariate Behavioral Research published by Taylor & ...
Christy Brown, Jonathan Templin
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A Family of Generalized Diagnostic Classification Models for Multiple Choice Option-Based Scoring [PDF]
Louis V. DiBello, R. Henson, W. Stout
semanticscholar +2 more sources
Background Proximal humerus fractures (PHF) are frequent, however, several studies show low inter-rater agreement in the diagnosis and treatment of these injuries.
Luiz Fernando Cocco +6 more
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A general diagnostic classification model for rating scales [PDF]
This study proposes and evaluates a general diagnostic classification model (DCM) for rating scales. We applied the proposed model to a dataset to compare its performance with traditional DCMs for polytomous items. We also conducted a simulation study based on the applied study condition in order to evaluate the parameter recovery of the proposed model.
Ren Liu, Zhehan Jiang
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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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Bayesian Diagnostic Classification Models for a Partially Known Q-Matrix
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs.
Kazuhiro Yamaguchi
semanticscholar +1 more source
Modeling rater diagnostic skills in binary classification processes [PDF]
Many disease diagnoses involve subjective judgments by qualified raters. For example, through the inspection of a mammogram, MRI, or ultrasound image, the clinician himself becomes part of the measuring instrument. To reduce diagnostic errors and improve the quality of diagnoses, it is necessary to assess raters' diagnostic skills and to improve their ...
Xiaoyan Lin +3 more
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IntroductionDiagnostic classification models (DCMs) have received increasing attention in cross-sectional studies. However, L2 learning studies, tracking skill development over time, require models suited for longitudinal analyses.
Hamdollah Ravand +3 more
doaj +1 more source
Background Proximal humerus fractures are frequent, and several studies show low diagnostic agreement among the observers, as well as an inaccurate classification of these lesions.
Luiz Fernando Cocco +5 more
doaj +1 more source

