Võrdle meetodeid

	Risti-kontrollgrupi eksperimentaalkujundus	Korduvate mõõtmiste ANOVA
Valdkond	Katsedisain	Statistika
Perekond	Process / pipeline	Hypothesis test
Tekkeaasta	Mid-20th century; systematic treatment from 1980s onward	1992
Looja	Established in clinical pharmacology and agricultural research; formalized by B. Jones & M. G. Kenward	Girden (textbook treatment); Field (2013)
Tüüp	Experimental design	Parametric within-subjects mean comparison
Algallikas	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
Rööpnimetused	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
Seotud	6	4
Kokkuvõte	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).