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| Crossover-Kontrollgruppendesign× | ANOVA mit wiederholten Messungen× | |
|---|---|---|
| Fachgebiet≠ | Versuchsplanung | Statistik |
| Familie≠ | Process / pipeline | Hypothesis test |
| Entstehungsjahr≠ | Mid-20th century; systematic treatment from 1980s onward | 1992 |
| Urheber≠ | Established in clinical pharmacology and agricultural research; formalized by B. Jones & M. G. Kenward | Girden (textbook treatment); Field (2013) |
| Typ≠ | Experimental design | Parametric within-subjects mean comparison |
| Wegweisende Quelle≠ | Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883500 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Aliasnamen | crossover controlled trial, within-subject crossover with control, AB/BA crossover controlled design, repeated-measures crossover with control arm | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Verwandt≠ | 6 | 4 |
| Zusammenfassung≠ | A crossover control group experimental design is an experimental approach in which participants are randomly assigned to sequences of conditions that include both a treatment and a control (no-treatment or placebo) period, with each participant experiencing both the experimental and control conditions in succession. By using each participant as their own control across periods, this design sharply reduces between-subject variability and typically requires fewer participants than parallel group trials to achieve equivalent statistical power. | 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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