Confirmatory Factor Analysis for Scales
Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. · DOI 10.1007/BF02289343
- Hoyle, R. H. (Ed.). (2012). Handbook of Structural Equation Modeling. New York: Guilford Press. · ISBN 9781462503254
- Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). New York: Guilford Press. · ISBN 9781462523344
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.