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Mitmetasandiline skaalaarendus×Kinnitav faktorianalüüs (CFA)×
ValdkondPsühhomeetriaPsühhomeetria
PerekondLatent structureLatent structure
Tekkeaasta1990s–2000s1969
LoojaRaudenbush, Bryk, Hox and colleaguesKarl Gustav Jöreskog
TüüpHierarchical measurement / scale constructionHypothesis-testing latent variable model
AlgallikasHox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Rööpnimetusedmultilevel measurement modeling, hierarchical scale development, MLSEM scale construction, nested data scale developmentCFA, confirmatory FA, measurement model, restricted factor analysis
Seotud54
KokkuvõteMultilevel scale development constructs and validates measurement instruments for data collected from individuals nested within higher-level units such as classrooms, organizations, or clinics. It partitions item variance into within-group and between-group components, ensuring that reliability and factor structure are evaluated at both levels simultaneously.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
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ScholarGateVõrdle meetodeid: Multilevel Scale Development · Confirmatory factor analysis. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare