Dealing with reflection invariance in Bayesian factor analysis

DOI10.1007/s11336-017-9564-yzbMath1402.62041OpenAlexW2597179150WikidataQ47931152 ScholiaQ47931152MaRDI QIDQ1695626

S. McKay Curtis, Elena A. Erosheva

Publication date: 7 February 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6758924

zbMATH Keywords

rotationMarkov chain Monte Carlorotational invariancelabel-switchingidentifiability constraintsrelabeling

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15) Applications of statistics to psychology (62P15)

Related Items (7)

A Mode-Jumping Algorithm for Bayesian Factor Analysis ⋮ Cultural consensus theory for the evaluation of patients' mental health scores in forensic psychiatric hospitals ⋮ A Bayesian semiparametric factor analysis model for subtype identification ⋮ A Gibbs sampling algorithm that estimates the \(Q\)-matrix for the DINA model ⋮ Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability ⋮ Assessment of generalised Bayesian structural equation models for continuous and binary data ⋮ Dealing with reflection invariance in Bayesian factor analysis

Uses Software

• R
• WinBUGS
• Mplus
• lavaan
• BayesDA
• Latent GOLD
• relabeLoadings

Cites Work

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• Deviance information criteria for missing data models

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