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Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Test de Friedman robust× | ANOVA de mesures repetides× | |
|---|---|---|
| Camp | Estadística | Estadística |
| Família | Hypothesis test | Hypothesis test |
| Any d'origen≠ | 1990s–2000s | 1992 |
| Autor original≠ | Extension of Friedman (1937); robust variants developed by Wilcox and colleagues | Girden (textbook treatment); Field (2013) |
| Tipus≠ | Robust nonparametric repeated measures comparison | Parametric within-subjects mean comparison |
| Font seminal≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Àlies | robust rank-based repeated measures test, trimmed-mean Friedman test, Friedman test with robust estimation, Fried-type robust test | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Relacionats≠ | 6 | 4 |
| Resum≠ | The robust Friedman test is a nonparametric procedure for comparing three or more related (within-subjects) conditions that replaces standard ranking or mean-based summaries with robust location estimates — typically trimmed means or Winsorized statistics — to reduce the influence of outliers and heavy-tailed distributions on the inference. | 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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