scholarly journals Joint Testlet Cognitive Diagnosis Modeling for Paired Local Item Dependence in Response Times and Response Accuracy

2018 ◽  
Vol 9 ◽  
Author(s):  
Peida Zhan ◽  
Manqian Liao ◽  
Yufang Bian
Keyword(s):  
Response Times ◽  
Cognitive Diagnosis ◽  
Response Accuracy ◽  
Local Item Dependence ◽  
Cognitive Diagnosis Modeling

Adjusting Person Fit Index for Skewness in Cognitive Diagnosis Modeling

2019 ◽  
Vol 37 (2) ◽  
pp. 399-420
Author(s):  
Kevin Carl P. Santos ◽  
Jimmy de la Torre ◽  
Matthias von Davier
Keyword(s):  
Cognitive Diagnosis ◽  
Person Fit ◽  
Person Fit Index ◽  
Fit Index ◽  
Cognitive Diagnosis Modeling

Relative and Absolute Fit Evaluation in Cognitive Diagnosis Modeling

2013 ◽  
Vol 50 (2) ◽  
pp. 123-140 ◽  
Author(s):  
Jinsong Chen ◽  
Jimmy de la Torre ◽  
Zao Zhang
Keyword(s):  
Cognitive Diagnosis ◽  
Cognitive Diagnosis Modeling

scholarly journals Assessing Change in Latent Skills Across Time With Longitudinal Cognitive Diagnosis Modeling: An Evaluation of Model Performance

2016 ◽  
Vol 77 (3) ◽  
pp. 369-388 ◽  
Author(s):  
Yasemin Kaya ◽  
Walter L. Leite
Keyword(s):  
Latent Variables ◽  
Model Performance ◽  
Repeated Measurements ◽  
Cognitive Diagnosis ◽  
Longitudinal Models ◽  
Monte Carlo Simulation Study ◽  
Transition Analysis ◽  
Cognitive Diagnosis Models ◽  
Study Results ◽  
Cognitive Diagnosis Modeling

Cognitive diagnosis models are diagnostic models used to classify respondents into homogenous groups based on multiple categorical latent variables representing the measured cognitive attributes. This study aims to present longitudinal models for cognitive diagnosis modeling, which can be applied to repeated measurements in order to monitor attribute stability of individuals and to account for respondent dependence. Models based on combining latent transition analysis modeling and the DINA and DINO cognitive diagnosis models were developed and then evaluated through a Monte Carlo simulation study. The study results indicate that the proposed models provide adequate convergence and correct classification rates.

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