Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis Factorial Confirmatorio (AFC)× | Modelo de Curva de Crecimiento Latente (LGC)× | |
|---|---|---|
| Campo | Estadística | Estadística |
| Familia | Latent structure | Latent structure |
| Año de origen≠ | 1969 | 1990 |
| Autor original≠ | Karl Jöreskog | Meredith & Tisak |
| Tipo≠ | Confirmatory latent variable model | Latent variable / longitudinal growth model |
| Fuente seminal≠ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗ |
| Alias≠ | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli |
| Relacionados≠ | 4 | 5 |
| Resumen≠ | Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships. | 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. |
| ScholarGateConjunto de datos ↗ |
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