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Confirmerende Factoranalyse (CFA)×Latent Growth Curve Model (LGC)×
VakgebiedStatistiekStatistiek
FamilieLatent structureLatent structure
Jaar van ontstaan19691990
GrondleggerKarl JöreskogMeredith & Tisak
TypeConfirmatory latent variable modelLatent variable / longitudinal growth model
Oorspronkelijke bronBrown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗
AliassenDoğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement modellatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli
Verwant45
SamenvattingConfirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.The latent growth curve model is a structural equation modelling approach introduced by Meredith and Tisak (1990) for analysing change over time. It treats each individual's starting point (intercept) and rate of change (slope) as latent variables, simultaneously estimating the average trajectory across the sample and the extent to which individuals differ in their own trajectories.
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ScholarGateMethoden vergelijken: CFA · LGC Model. Geraadpleegd op 2026-06-19 via https://scholargate.app/nl/compare