Módszerek összehasonlítása
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| Vegyes ANOVA× | Ismételt méréses ANOVA× | |
|---|---|---|
| Tudományterület | Statisztika | Statisztika |
| Módszercsalád | Hypothesis test | Hypothesis test |
| Keletkezés éve≠ | 1925 | 1992 |
| Megalkotó≠ | R. A. Fisher (ANOVA framework); split-plot design formalised in agricultural experimentation | Girden (textbook treatment); Field (2013) |
| Típus≠ | Parametric factorial ANOVA | Parametric within-subjects mean comparison |
| Alapmű≠ | Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE. ISBN: 978-1526419521 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Alternatív nevek | split-plot ANOVA, mixed-design ANOVA, between-within ANOVA, Karma ANOVA (Mixed ANOVA — Gruplar Arası × Tekrarlı) | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Kapcsolódó≠ | 6 | 4 |
| Összefoglaló≠ | Mixed ANOVA is a parametric factorial analysis of variance that simultaneously examines at least one between-subjects factor and at least one within-subjects (repeated-measures) factor. Rooted in R. A. Fisher's ANOVA framework formalised in 1925, it is the standard method for experimental and longitudinal designs in which different groups are each measured across multiple time points or conditions. | 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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