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| Μοντέλο λανθάνουσας καμπύλης ανάπτυξης (LGC)× | Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)× | |
|---|---|---|
| Πεδίο≠ | Στατιστική | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1990 | 1969 |
| Δημιουργός≠ | Meredith & Tisak | Karl Gustav Jöreskog |
| Τύπος≠ | Latent variable / longitudinal growth model | Hypothesis-testing latent variable model |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Συναφείς≠ | 5 | 4 |
| Σύνοψη≠ | 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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