Latent structureScale / measurement

Multilevel Confirmatory Factor Analysis (MCFA)

Multilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations.

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Sources

  1. Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI: 10.1177/0049124194022003006
  2. Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462

Related methods

Referenced by

ScholarGateMultilevel CFA (Multilevel Confirmatory Factor Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/psychometrics/multilevel-confirmatory-factor-analysis