Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Conception expérimentale croisée avec pré-test et post-test× | Schéma en carré latin et en carré gréco-latin× | |
|---|---|---|
| Domaine | Plans d'expériences | Plans d'expériences |
| Famille≠ | Process / pipeline | Hypothesis test |
| Année d'origine≠ | 1963 (Campbell & Stanley framework); crossover methodology formalized 1980s–2000s | 1935 |
| Auteur d'origine≠ | Donald T. Campbell & Julian C. Stanley (pretest-posttest framework); Stephen Senn (crossover trial methodology) | Ronald A. Fisher |
| Type≠ | Within-subjects experimental design | Parametric blocked ANOVA |
| Source fondatrice≠ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| Alias≠ | within-subjects pretest-posttest design, repeated-measures crossover design, AB/BA pretest-posttest design, crossover repeated-measures design | Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni |
| Apparentées | 5 | 5 |
| Résumé≠ | A crossover pretest-posttest experimental design is a within-subjects experiment in which each participant receives two or more treatments in a randomized sequence, with outcome measurements taken both before and after each treatment period. By serving as their own control across conditions, participants allow direct intra-individual comparison, dramatically increasing statistical power while reducing the sample size required relative to a parallel-group design. | The Latin square design is a blocked experimental design that simultaneously controls two independent nuisance factors — the row block and the column block — so that each treatment appears exactly once in every row and every column of an n×n arrangement. Formalised by Ronald A. Fisher in his 1935 monograph The Design of Experiments, the design dramatically reduces experimental error by absorbing variation from two extraneous sources before the treatment effects are estimated. |
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