Bayesian structural equation modeling: a more flexible representation of substantive theory

This article proposes a new approach to factor analysis and structural equation modeling using Bayesian analysis. The new approach replaces parameter specifications of exact zeros with approximate zeros based on informative, small-variance priors. It is argued that this produces an analysis that bet...

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Veröffentlicht in:	Psychological methods Jg. 17; H. 3; S. 313
Hauptverfasser:	Muthén, Bengt, Asparouhov, Tihomir
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.09.2012
Schlagworte:	Bayes Theorem Factor Analysis, Statistical Humans Likelihood Functions Markov Chains Models, Statistical Monte Carlo Method Neuropsychological Tests - statistics & numerical data Personality Tests - statistics & numerical data
ISSN:	1939-1463, 1939-1463
Online-Zugang:	Weitere Angaben
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