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Confirmatory Factor Analysis for Scales/Evidence
Method evidence record

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.

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

Confirmatory Factor Analysis Method for Scale Validation and Structural Testing
Taxonomic method record · process-pipeline / psychometrics
  • 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
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Related methods

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

Taxonomic bucketContent Validity Ratiomachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactor Analysis for Scale Developmentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFloor and Ceiling Effectmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLikert Scale Constructionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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

Sources

3 recorded citations, copied from the method source record.

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