Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Nemenyi Post-Hoc Test za Friedmanovu analizu× | ANOVA za ponovljena merenja× | |
|---|---|---|
| Oblast | Statistika | Statistika |
| Porodica | Hypothesis test | Hypothesis test |
| Godina nastanka≠ | 1963 | 1992 |
| Tvorac≠ | Peter Nemenyi | Girden (textbook treatment); Field (2013) |
| Tip≠ | Nonparametric post-hoc multiple comparison | Parametric within-subjects mean comparison |
| Temeljni izvor≠ | Nemenyi, P. (1963). Distribution-Free Multiple Comparisons. PhD thesis, Princeton University. link ↗ | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Drugi nazivi≠ | Nemenyi Testi — Friedman Post-Hoc, Nemenyi multiple comparison test, Nemenyi procedure | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Srodne≠ | 5 | 4 |
| Sažetak≠ | The Nemenyi test is a nonparametric post-hoc multiple comparison procedure introduced by Peter Nemenyi in his 1963 Princeton doctoral thesis. It is applied after a significant Friedman test to identify which specific pairs of conditions differ from each other in a repeated-measures or blocked design. | 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 ↗ |
|
|