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Model Kurva Pertumbuhan Laten (LGC)×Analisis Faktor Eksploratori (EFA)×
BidangStatistikaStatistika
KeluargaLatent structureLatent structure
Tahun asal1990
PencetusMeredith & Tisak
TipeLatent variable / longitudinal growth modelLatent variable / dimension reduction
Sumber perintisMeredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗
Aliaslatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modelicommon factor analysis, açımlayıcı faktör analizi, factor analysis
Terkait54
RingkasanThe 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.Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.
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ScholarGateBandingkan metode: LGC Model · EFA. Diakses 2026-06-19 dari https://scholargate.app/id/compare