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

KAYA Y., Leite W. L.

EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, cilt.77, sa.3, ss.369-388, 2017 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 77 Sayı: 3
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1177/0013164416659314
  • Dergi Adı: EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.369-388
  • Anahtar Kelimeler: cognitive diagnosis models, latent transition analysis, diagnostic classification models, latent class analysis, longitudinal assessment, DINA MODEL
  • Atatürk Üniversitesi Adresli: Evet

Özet

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.