Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Korelatīvās faktoru analīzes (KFA)× | Latent Growth Curve Model (LGC)× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1969 | 1990 |
| Autors≠ | Karl Jöreskog | Meredith & Tisak |
| Tips≠ | Confirmatory latent variable model | Latent variable / longitudinal growth model |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi≠ | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli |
| Saistītās≠ | 4 | 5 |
| Kopsavilkums≠ | 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. |
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