Latent Variable Selection for Multidimensional Item Response Theory Models via $$L_{1}$$L1 Regularization

By Jianan Sun, Yunxiao Chen, Jingchen Liu, Zhiliang Ying, Tao Xin. 2016

50 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ee0d0413baaca3bbec66a37647f4255fba5f01c1

Citations in the corpus

• Item Response Theory—A Statistical Framework for Educational and Psychological Measurement (2021, unknown): “Compared with the analytic rotation methods, this approach is more general and can be applied to a wide range of IRT models, including multidimensional IRT models with continuous latent traits (Sun et al., 2016) and DCMs (Chen et al., 2015; Xu and Shang, 2018).”