قارن الطرق

	تجربة العوامل الكاملة المتقاطعة	تحليل التباين للمقاييس المتكررة
المجال	التصميم التجريبي	الإحصاء
العائلة	Process / pipeline	Hypothesis test
سنة النشأة	Mid-to-late 20th century (crossover trials formalised ~1960s–1980s; full factorial DoE from Fisher ~1935)	1992
صاحب الطريقة	Developed within the design-of-experiments tradition (R. A. Fisher and successors); crossover adaptation formalised by B. Jones and M. G. Kenward	Girden (textbook treatment); Field (2013)
النوع	Within-subject full factorial experimental design	Parametric within-subjects mean comparison
المصدر التأسيسي	Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883429	Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
الأسماء البديلة	within-subject full factorial design, repeated-measures full factorial experiment, crossover factorial trial, full factorial crossover design	within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
ذات صلة	6	4
الملخص	A crossover full factorial experiment combines the efficiency of a crossover (within-subject) design with the comprehensiveness of a full factorial design. Every participant receives all combinations of the factor levels across successive treatment periods, separated by washout intervals, allowing complete estimation of all main effects and interactions while using each participant as their own control.	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).