Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation
Author:
Funder
Division of Social and Economic Sciences
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Psychology
Link
https://link.springer.com/content/pdf/10.1007/s11336-023-09940-7.pdf
Reference49 articles.
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2. Bacci, S., Bartolucci, F., & Gnaldi, M. (2014). A class of multidimensional latent class IRT models for ordinal polytomous item responses. Communications in Statistics-Theory and Methods, 43(4), 787–800.
3. Balamuta, J. J., & Culpepper, S. A. (2022). Exploratory restricted latent class models with monotonicity requirements under Polya–gamma data augmentation. Psychometrika 1–43.
4. Bartolucci, F. (2007). A class of multidimensional IRT models for testing unidimensionality and clustering items. Psychometrika, 72, 141–157.
5. Bradshaw, L., & Templin, J. (2014). Combining item response theory and diagnostic classification models: A psychometric model for scaling ability and diagnosing misconceptions. Psychometrika, 79(3), 403–425.
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