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| Varianciaanalízis egytényezős× | Ismételt méréses ANOVA× | |
|---|---|---|
| Tudományterület | Statisztika | Statisztika |
| Módszercsalád | Hypothesis test | Hypothesis test |
| Keletkezés éve≠ | 1925 | 1992 |
| Megalkotó≠ | Ronald A. Fisher | Girden (textbook treatment); Field (2013) |
| Típus≠ | Parametric mean comparison | Parametric within-subjects mean comparison |
| Alapmű≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Alternatív nevek | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Kapcsolódó | 4 | 4 |
| Összefoglaló≠ | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. | 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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