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Višegrupna sadržajna valjanost×Potvrdna faktorska analiza (CFA)×
PodručjePsihometrijaPsihometrija
ObiteljLatent structureLatent structure
Godina nastanka1986–20061969
TvoracLynn (1986); extended by Polit & Beck (2006)Karl Gustav Jöreskog
VrstaValidity assessment / expert judgment aggregationHypothesis-testing latent variable model
Temeljni izvorPolit, D. F. & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Drugi nazivimulti-group CVI, cross-group content validity, subgroup content validity index, multi-panel content validityCFA, confirmatory FA, measurement model, restricted factor analysis
Srodne44
SažetakMulti-group content validity extends the standard content validity index (CVI) procedure by computing and comparing item- and scale-level validity indices across two or more distinct expert panels or subgroups. It ensures that a scale's items are judged as relevant and representative not only overall but also within each subgroup of interest, supporting cross-group generalizability of the instrument.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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ScholarGateUsporedite metode: Multi-group content validity · Confirmatory factor analysis. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare