Growth Modeling in a Diagnostic Classification Model (DCM) FrameworkâA Multivariate Longitudinal Diagnostic Classification Model [PDF]
Frontiers in Psychology, 2020 A multivariate longitudinal DCM is developed that is the composite of two components, the log-linear cognitive diagnostic model (LCDM) as the measurement model component that evaluates the mastery status of attributes at each measurement occasion, and a ...
Qianqian Pan, Lu Qin, Neal Kingston
doaj +8 more sources
A Testlet Diagnostic Classification Model with Attribute Hierarchies. [PDF]
Appl Psychol Meas, 2023 In this article, a testlet hierarchical diagnostic classification model (TH-DCM) was introduced to take both attribute hierarchies and item bundles into account. The expectation-maximization algorithm with an analytic dimension reduction technique was used for parameter estimation.
Ma W, Wang C, Xiao J.
europepmc +4 more sources
Examining Parameter Invariance in a General Diagnostic Classification Model [PDF]
Frontiers in Psychology, 2020 The present study aimed at investigating invariance of a diagnostic classification model (DCM) for reading comprehension across gender. In contrast to models with continuous traits, diagnostic classification models inform mastery of a finite set of ...
Hamdollah Ravand +2 more
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Integrating a Statistical Topic Model and a Diagnostic Classification Model for Analyzing Items in a Mixed Format Assessment [PDF]
Frontiers in Psychology, 2021 Selected response items and constructed response (CR) items are often found in the same test. Conventional psychometric models for these two types of items typically focus on using the scores for correctness of the responses.
Hye-Jeong Choi +4 more
doaj +2 more sources
Foundations, 2023 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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Diagnostic Classification Models for Ordinal Item Responses [PDF]
Frontiers in Psychology, 2018 The purpose of this study is to develop and evaluate two diagnostic classification models (DCMs) for scoring ordinal item data. We first applied the proposed models to an operational dataset and compared their performance to an epitome of current ...
Ren Liu, Zhehan Jiang
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Development of a diagnostic classification model for lateral cephalograms based on multitask learning [PDF]
BMC Oral HealthObjectives This study aimed to develop a cephalometric classification method based on multitask learning for eight diagnostic classifications. Methods This study was retrospective.
Qiao Chang +7 more
doaj +2 more sources
A general diagnostic classification model for rating scales [PDF]
Behavior Research Methods, 2019 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, Jiang Zhehan
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Corrigendum: Integrating a Statistical Topic Model and a Diagnostic Classification Model for Analyzing Items in a Mixed Format Assessment [PDF]
Frontiers in Psychology, 2021 Hye-Jeong Choi +4 more
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Hierarchical Diagnostic Classification Modeling of Reading Comprehension [PDF]
SAGE Open, 2020 The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly. In this study, a foreign language reading comprehension test was analyzed employing HDCM and the generalized deterministic-input, noisy and gate (G-DINA) model to ...
Mona Tabatabaee-Yazdi
exaly +3 more sources