Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| ANOVA с повторными измерениями× | Тест Фридмана× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1992 | 1937 |
| Автор метода≠ | Girden (textbook treatment); Field (2013) | Milton Friedman |
| Тип≠ | Parametric within-subjects mean comparison | Nonparametric repeated-measures comparison (by ranks) |
| Основополагающий источник≠ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 | Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI ↗ |
| Другие названия≠ | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA | Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi |
| Связанные≠ | 4 | 2 |
| Сводка≠ | 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). | The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality. |
| ScholarGateНабор данных ↗ |
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