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A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data.
Pan, Tianyu; Shen, Weining; Davis-Stober, Clintin P; Hu, Guanyu.
Affiliation
  • Pan T; Department of Statistics, University of California, Irvine, California, USA.
  • Shen W; Department of Statistics, University of California, Irvine, California, USA.
  • Davis-Stober CP; Department of Psychological Sciences, University of Missouri - Columbia, Columbia, Missouri, USA.
  • Hu G; Department of Biostatistics and Data Science, Center for Spatial Temporal Modeling for Applications in Population Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Br J Math Stat Psychol ; 77(1): 196-211, 2024 Feb.
Article in En | MEDLINE | ID: mdl-37727141
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Students / Algorithms Limits: Humans Language: En Journal: Br J Math Stat Psychol Year: 2024 Type: Article Affiliation country: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Students / Algorithms Limits: Humans Language: En Journal: Br J Math Stat Psychol Year: 2024 Type: Article Affiliation country: United States