Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Párový t-test× | ANOVA pro opakovaná měření× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1908 | 1992 |
| Tvůrce≠ | Student (W. S. Gosset) | Girden (textbook treatment); Field (2013) |
| Typ≠ | Parametric mean comparison | Parametric within-subjects mean comparison |
| Původní zdroj≠ | 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 |
| Další názvy | 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 |
| Příbuzné≠ | 3 | 4 |
| Shrnutí≠ | 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). |
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