Bayesian Inference for IRT Models with Non-Normal Latent Trait Distributions-Reference-Cited by-同舟云学术

Bayesian Inference for IRT Models with Non-Normal Latent Trait Distributions

Published:2020-06-29 Issue:5 Volume:56 Page:703-723
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Zhang Xue¹^ORCID,Wang Chun²,Weiss David J.³,Tao Jian⁴^ORCID

Affiliation:

1. China Institute of Rural Education Development, Northeast Normal University, Changchun, China

2. College of Education, University of Washington, Seattle, Washington, USA

3. Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA

4. Department of Statistics, KLAS, School of Mathematics and Statistics, Northeast Normal University, Changchun, China

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,General Medicine,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2020.1776096

Reference52 articles.

1. Abdel-Fattah, A. F. A. (1994). Comparing BILOG and LOGIST estimates for normal, truncated normal, and beta ability distributions. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA.

2. Bayesian Estimation of Normal Ogive Item Response Curves Using Gibbs Sampling

3. Bayesian inference for a skew-normal IRT model under the centred parameterization

4. Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm

5. A Mixture Item Response Model for Multiple-Choice Data

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