השוואת שיטות

	מבנה ניסוי מוצלב	ANOVA למדידות חוזרות
תחום	תכנון ניסויים	סטטיסטיקה
משפחה	Hypothesis test	Hypothesis test
שנת המקור	1960	1992
הוגה השיטה	Early formalized in clinical research literature; widely used since mid-20th century	Girden (textbook treatment); Field (2013)
סוג	Within-subject repeated-measures design	Parametric within-subjects mean comparison
מקור מכונן	Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533	Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
כינויים	within-subject crossover, cross-over design, AB/BA design, Çapraz Desen (Crossover Design)	within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
קשורות	6	4
תקציר	A crossover design is an experimental design in which each participant receives all treatments under investigation, but in a different sequence and across separate time periods. Each subject thus acts as their own control, which substantially reduces between-subject variability and allows efficient treatment comparisons with smaller sample sizes. The approach has been central to clinical pharmacology and comparative research since the mid-20th century, with foundational methodology codified by Senn (2002) and Jones & Kenward (2014).	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).