Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Modelul Curbei de Creștere Latente (LGC)× | Analiza factoriala confirmatorie (CFA)× | |
|---|---|---|
| Domeniu≠ | Statistică | Psihometrie |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 1990 | 1969 |
| Autorul original≠ | Meredith & Tisak | Karl Gustav Jöreskog |
| Tip≠ | Latent variable / longitudinal growth model | Hypothesis-testing latent variable model |
| Sursa seminală≠ | Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Denumiri alternative | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli | CFA, confirmatory FA, measurement model, restricted 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. | 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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