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
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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.
Ma W, Wang C, Xiao J.
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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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Diagnostic Classification Model for Forced-Choice Items and Noncognitive Tests. [PDF]
Educ Psychol Meas, 2023 The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response ...
Huang HY.
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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
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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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A Longitudinal Higher-Order Diagnostic Classification Model
Journal of Educational and Behavioral Statistics, 2019 Providing diagnostic feedback about growth is crucial to formative decisions such as targeted remedial instructions or interventions. This article proposed a longitudinal higher-order diagnostic classification modeling approach for measuring growth.
Hong Jiao, Feiming Li, Peida Zhan
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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
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A Semi-supervised Learning-Based Diagnostic Classification Method Using Artificial Neural Networks
Frontiers in Psychology, 2021 The purpose of cognitive diagnostic modeling (CDM) is to classify students' latent attribute profiles using their responses to the diagnostic assessment.
Kang Xue, Laine P. Bradshaw
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Language Testing in Asia, 2021 The current study compared the model fit indices, skill mastery probabilities, and classification accuracy of six Diagnostic Classification Models (DCMs): a general model (G-DINA) against five specific models (LLM, RRUM, ACDM, DINA, and DINO).
Mahdieh Shafipoor +2 more
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