Methoden vergelijken

	Crossover controlegroep experimenteel ontwerp	Repeated-measures ANOVA
Vakgebied	Experimenteel ontwerp	Statistiek
Familie	Process / pipeline	Hypothesis test
Jaar van ontstaan	Mid-20th century; systematic treatment from 1980s onward	1992
Grondlegger	Established in clinical pharmacology and agricultural research; formalized by B. Jones & M. G. Kenward	Girden (textbook treatment); Field (2013)
Type	Experimental design	Parametric within-subjects mean comparison
Oorspronkelijke bron	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
Aliassen	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
Verwant	6	4
Samenvatting	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).