Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Cohortstudie× | Repeated-measures ANOVA× | |
|---|---|---|
| Vakgebied≠ | Epidemiologie | Statistiek |
| Familie≠ | Process / pipeline | Hypothesis test |
| Jaar van ontstaan≠ | Mid-20th century (formal epidemiological design codified ~1950s) | 1992 |
| Grondlegger≠ | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) | Girden (textbook treatment); Field (2013) |
| Type≠ | Observational longitudinal study design | Parametric within-subjects mean comparison |
| Oorspronkelijke bron≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Aliassen | longitudinal study, follow-up study, panel study, incidence study | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Verwant≠ | 6 | 4 |
| Samenvatting≠ | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. | 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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