Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Latent Growth Curve Model (LGC)× | Repeated-measures ANOVA× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie≠ | Latent structure | Hypothesis test |
| Jaar van ontstaan≠ | 1990 | 1992 |
| Grondlegger≠ | Meredith & Tisak | Girden (textbook treatment); Field (2013) |
| Type≠ | Latent variable / longitudinal growth model | Parametric within-subjects mean comparison |
| Oorspronkelijke bron≠ | Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Aliassen | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Verwant≠ | 5 | 4 |
| Samenvatting≠ | 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. | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). |
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