Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Modelul Curbei de Creștere Latente (LGC)× | Analiza Factorială Exploratorie (EFA)× | |
|---|---|---|
| Domeniu | Statistică | Statistică |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 1990 | — |
| Autorul original≠ | Meredith & Tisak | — |
| Tip≠ | Latent variable / longitudinal growth model | Latent variable / dimension reduction |
| Sursa seminală≠ | Meredith, 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 ↗ |
| Denumiri alternative≠ | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Înrudite≠ | 5 | 4 |
| Rezumat≠ | 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. | 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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