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Journal of Classification
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22-03-2017

Handling Missing Data in Item Response Theory. Assessing the Accuracy of a Multiple Imputation Procedure Based on Latent Class Analysis

Authors: Isabella Sulis, Mariano Porcu

Published in: Journal of Classification | Issue 2/2017

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Metadata
Title
Handling Missing Data in Item Response Theory. Assessing the Accuracy of a Multiple Imputation Procedure Based on Latent Class Analysis
Authors
Isabella Sulis
Mariano Porcu
Publication date
22-03-2017
Publisher
Springer US
Published in
Journal of Classification / Issue 2/2017
Print ISSN: 0176-4268
Electronic ISSN: 1432-1343
DOI
https://doi.org/10.1007/s00357-017-9220-3

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Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model

Dimension-Reduced Clustering of Functional Data via Subspace Separation

Robinsonian Matrices: Recognition Challenges

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