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Polytomous Confirmatory Factor Analysis/Evidence
Method evidence record

Polytomous Confirmatory Factor Analysis

Polytomous confirmatory factor analysis (CFA) tests a pre-specified factor structure when items have three or more ordered response categories (e.g., Likert scales). By working with polychoric correlations and robust estimators such as WLSMV, it avoids the distortions that arise when ordered categorical data are treated as continuous.

Sources recorded, not reviewed

Source record

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

Polytomous Confirmatory Factor Analysis
Taxonomic method record · latent-structure / psychometrics
  • Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. · DOI 10.1037/1082-989X.9.4.466
  • Muthen, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49(1), 115–132. · DOI 10.1007/BF02294210
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

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Related methods

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

Taxonomic bucketConfirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketItem Response Theorymachine-suggested · Relational suggestion, not evidence.Same method familyMeasurement Invariancemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOrdinal CFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPolytomous EFAmachine-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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