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| Zrandomizowany kompletny schemat blokowy (RCBD)× | Jednoczynnikowa ANOVA z powtarzanymi pomiarami× | |
|---|---|---|
| Dziedzina≠ | Planowanie eksperymentów | Statystyka |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1935 | 1992 |
| Twórca≠ | Ronald A. Fisher | Girden (textbook treatment); Field (2013) |
| Typ≠ | Parametric blocked ANOVA | Parametric within-subjects mean comparison |
| Źródło pierwotne≠ | Montgomery, D.C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1-119-32093-7 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Inne nazwy | RCBD, randomized block design, complete block design, Tesadüf Bloklu Desen (RCBD) | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Pokrewne≠ | 6 | 4 |
| Podsumowanie≠ | The Randomized Complete Block Design (RCBD) is a parametric experimental design and hypothesis-testing framework that isolates and removes a known source of heterogeneity — called a block — before comparing treatment means. Introduced by Ronald A. Fisher in his 1935 monograph The Design of Experiments, it remains the foundational blocked design in agricultural, clinical, and industrial research. | 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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