Cluster Analysis for Cognitive Diagnosis: Theory and Applications

Author:

Chiu Chia-Yi,Douglas Jeffrey A.,Li Xiaodong

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Reference40 articles.

1. Blashfield, P.K. (1976). Mixture model tests of cluster analysis: accuracy of four agglomerative hierachical methods. Psychological Bulletin, 83, 377–385.

2. Bradley, P.S., & Fayyad, U.M. (1998). Refining initial points for K-means clustering. In J. Shavlik (Ed.), Proceedings of the fifteenth international conference on machine learning (pp. 91–99). Burlington: Morgan Kaufmann.

3. Bartholomew, D.J. (1987). Latent variable models and factor analysis. New York: Oxford University Press.

4. Cunnningham, K.M., & Ogilvie, J.C. (1972). Evaluation of hierachical grouping techniques: A preliminary study. Computer Journal, 15, 209–213.

5. de la Torre, J., & Douglas, J.A. (2004). Higher order latent trait models for cognitive diagnosis. Psychometrika, 69, 333–353.

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