Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Парний t-критерій Стьюдента× | Дисперсійний аналіз повторних вимірювань× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1908 | 1992 |
| Автор методу≠ | Student (W. S. Gosset) | Girden (textbook treatment); Field (2013) |
| Тип≠ | Parametric mean comparison | Parametric within-subjects mean comparison |
| Основоположне джерело≠ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Інші назви | dependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Пов'язані≠ | 3 | 4 |
| Підсумок≠ | The paired samples t-test is a parametric hypothesis test that compares the means of two related measurements from the same subjects or matched pairs to determine whether the average difference is significantly different from zero. It leverages the dependency between observations to produce a more powerful test than its independent-samples counterpart. | 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). |
| ScholarGateНабір даних ↗ |
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