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| Test Post-Hoc di Nemenyi per Friedman× | ANOVA per misure ripetute× | |
|---|---|---|
| Campo | Statistica | Statistica |
| Famiglia | Hypothesis test | Hypothesis test |
| Anno di origine≠ | 1963 | 1992 |
| Ideatore≠ | Peter Nemenyi | Girden (textbook treatment); Field (2013) |
| Tipo≠ | Nonparametric post-hoc multiple comparison | Parametric within-subjects mean comparison |
| Fonte seminale≠ | 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 |
| Alias≠ | Nemenyi Testi — Friedman Post-Hoc, Nemenyi multiple comparison test, Nemenyi procedure | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Correlati≠ | 5 | 4 |
| Sintesi≠ | 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). |
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