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Latent vækstkurvemodel (LGC)×ANOVA med gentagne målinger×
FagområdeStatistikStatistik
FamilieLatent structureHypothesis test
Oprindelsesår19901992
OphavspersonMeredith & TisakGirden (textbook treatment); Field (2013)
TypeLatent variable / longitudinal growth modelParametric within-subjects mean comparison
Oprindelig kildeMeredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
Aliasserlatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeliwithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Relaterede54
ResuméThe 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.Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).
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ScholarGateSammenlign metoder: LGC Model · Repeated-measures ANOVA. Hentet 2026-06-20 fra https://scholargate.app/da/compare