Usporedite metode
Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.
| t-test za zavisne uzorke× | ANOVA za ponovljena mjerenja× | |
|---|---|---|
| Područje | Statistika | Statistika |
| Obitelj | Hypothesis test | Hypothesis test |
| Godina nastanka≠ | 1908 | 1992 |
| Tvorac≠ | Student (W. S. Gosset) | Girden (textbook treatment); Field (2013) |
| Vrsta≠ | Parametric mean comparison | Parametric within-subjects mean comparison |
| Temeljni izvor≠ | 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 |
| Drugi nazivi | 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 |
| Srodne≠ | 3 | 4 |
| Sažetak≠ | 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). |
| ScholarGateSkup podataka ↗ |
|
|