Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Дисперсійний аналіз повторних вимірювань× | Двофакторний дисперсійний аналіз (Two-Way ANOVA)× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1992 | 1925 |
| Автор методу≠ | Girden (textbook treatment); Field (2013) | Ronald A. Fisher |
| Тип≠ | Parametric within-subjects mean comparison | Parametric factorial mean comparison |
| Основоположне джерело≠ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 |
| Інші назви≠ | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA |
| Пов'язані≠ | 4 | 6 |
| Підсумок≠ | 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). | Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors. |
| ScholarGateНабір даних ↗ |
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