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Bayesian Confirmatory Factor Analysis/Evidence
Method evidence record

Bayesian Confirmatory Factor Analysis

Bayesian confirmatory factor analysis tests a pre-specified factor structure using Bayesian inference. Instead of point estimates with p-values, it produces full posterior distributions for loadings, factor correlations, and residual variances, allowing the researcher to incorporate prior knowledge and propagate parameter uncertainty naturally.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Confirmatory Factor Analysis
Taxonomic method record · latent-structure / psychometrics
  • Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. · ISBN 978-0470024232
  • Muthén, B. & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. · DOI 10.1037/a0026802
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBayesian EFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Measurement Invariancemachine-suggested · Relational suggestion, not evidence.See alsoBayesian Reliability Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketConfirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Same method familyEFAmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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