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CFA — Scale Validation/Evidence
Method evidence record

CFA — Scale Validation

Confirmatory factor analysis is a measurement modelling technique that tests whether a hypothesised factor structure — typically derived from theory or an earlier exploratory analysis — fits observed data from a new sample. Developed by Karl Jöreskog in 1969, it became the dominant tool for validating psychological scales because it requires the researcher to specify in advance which items belong to which latent factor and then assesses the adequacy of that specification against explicit statistical fit criteria.

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Confirmatory Factor Analysis for Scale Validation
Taxonomic method record · latent-structure / psychometrics
  • Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). Guilford Press. · ISBN 978-1462515363
  • Hu, L. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. · DOI 10.1080/10705519909540118
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Related methods

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

Same method familyCronbach's Alphamachine-suggested · Relational suggestion, not evidence.Same method familyEFAmachine-suggested · Relational suggestion, not evidence.See alsoHierarchical Linear Modelingmachine-suggested · Relational suggestion, not evidence.See alsoPrincipal Component Analysismachine-suggested · Relational suggestion, not evidence.Same method familyRasch Modelmachine-suggested · Relational suggestion, not evidence.Same method familySEMmachine-suggested · Relational suggestion, not evidence.

Evidence status

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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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