A nonparametric Bayesian item response modelling approach for clustering items and individuals simultaneously-Reference-Cited by-同舟云学术

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A nonparametric Bayesian item response modelling approach for clustering items and individuals simultaneously

Published:2024-05-21 Issue: Volume: Page:1-26
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Hu Guanyu¹²,Paek Insu³,Ma Zhihua⁴

Affiliation:

1. Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, TX, USA

2. Center for Spatial Temporal Modeling for Applications in Population Sciences, The University of Texas Health Science Center at Houston, TX, USA

3. College of Education, Florida State University, FL, USA

4. Department of Statistics, Shenzhen University, Shenzhen, People's Republic of China

Funder

Guangdong Basic and Applied Basic Research Foundation

MOE (Ministry of Education in China) Youth Foundation Project of Humanities and Social Sciences

NSFC

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10485252.2024.2354841

Reference37 articles.

1. Spurious Latent Classes in the Mixture Rasch Model

2. A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework

3. Item Parameter Estimation Under Conditions of Test Speededness: Application of a Mixture Rasch Model With Ordinal Constraints

4. Deviance information criteria for missing data models

5. Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE

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