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A Latent Class Multidimensional Scaling Model for Two-Way One-Mode Continuous Rating Dissimilarity Data

Vera, J.; Macías, Rodrigo; Heiser, Willem - In: Psychometrika 74 (2009) 2, pp. 297-315

Persistent link: https://www.econbiz.de/10004999478

Constrained latent class analysis: Simultaneous classification and scaling of discrete choice data

Böckenholt, Ulf; Böckenholt, Ingo - In: Psychometrika 56 (1991) 4, pp. 699-716

Persistent link: https://www.econbiz.de/10005603670

Cluster Analysis for Cognitive Diagnosis: Theory and Applications

Chiu, Chia-Yi; Douglas, Jeffrey; Li, Xiaodong - In: Psychometrika 74 (2009) 4, pp. 633-665

Persistent link: https://www.econbiz.de/10008491543

Multiclus: A new method for simultaneously performing multidimensional scaling and cluster analysis

DeSarbo, Wayne; Howard, Daniel; Jedidi, Kamel - In: Psychometrika 56 (1991) 1, pp. 121-136

Persistent link: https://www.econbiz.de/10005603305

Hierarchical Diagnostic Classification Models Morphing into Unidimensional ‘Diagnostic’ Classification Models—A Commentary

Davier, Matthias; Haberman, Shelby - In: Psychometrika 79 (2014) 2, pp. 340-346

This commentary addresses the modeling and final analytical path taken, as well as the terminology used, in the paper “Hierarchical diagnostic classification models: a family of models for estimating and testing attribute hierarchies” by Templin and Bradshaw (Psychometrika, doi:<ExternalRef>...</refsource></externalref>

Persistent link: https://www.econbiz.de/10010998771