ERIC Number: EJ1141157
Record Type: Journal
Publication Date: 2017-Jun
Abstractor: As Provided
Assessing Change in Latent Skills across Time with Longitudinal Cognitive Diagnosis Modeling: An Evaluation of Model Performance
Kaya, Yasemin; Leite, Walter L.
Educational and Psychological Measurement, v77 n3 p369-388 Jun 2017
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.
Descriptors: Models, Classification, Cognitive Processes, Change, Longitudinal Studies, Statistical Analysis, Correlation, Monte Carlo Methods
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A
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