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On the Benefit of Robust Bayesian Confirmatory Factor Analysis

Bibliographic Data

ID12424845
AuthorsRadislav Vaisman (0000-0001-9875-0616, The University of Queensland, corresponding author), Mitchell Scovell (0000-0002-6191-5007, CSIRO), Nikolai Kinaev (CSIRO), Javier Fernández (0000-0003-4427-3935, The University of Queensland)
Year2024
Volume32
Issue4
Pages579-589
Publication date2024-12-16
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueStructural Equation Modeling: A Multidisciplinary Journal (JOURNAL)
Journal identifiersISSN: 1070-5511 • E-ISSN: 1532-8007
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10705511.2024.2431981
OpenAlexW4405428925
LanguageEN
References cited35

Bayesian probability · Confirmatory factor analysis · Construct (python library · Data mining · Econometrics · Factor (programming language · Machine learning · Marginal likelihood · Normality · Statistics · Structural equation modeling · Advanced Statistical Methods and Models · Computer Science · Mathematics · Optimal Experimental Design Methods · Statistical Methods and Bayesian Inference · Artificial Intelligence

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