Methoden vergleichen

	Crossover-Prätest-Posttest-Experimentaldesign	ANOVA mit wiederholten Messungen
Fachgebiet	Versuchsplanung	Statistik
Familie	Process / pipeline	Hypothesis test
Entstehungsjahr	1963 (Campbell & Stanley framework); crossover methodology formalized 1980s–2000s	1992
Urheber	Donald T. Campbell & Julian C. Stanley (pretest-posttest framework); Stephen Senn (crossover trial methodology)	Girden (textbook treatment); Field (2013)
Typ	Within-subjects experimental design	Parametric within-subjects mean comparison
Wegweisende Quelle	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
Aliasnamen	within-subjects pretest-posttest design, repeated-measures crossover design, AB/BA pretest-posttest design, crossover repeated-measures design	within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Verwandt	5	4
Zusammenfassung	A crossover pretest-posttest experimental design is a within-subjects experiment in which each participant receives two or more treatments in a randomized sequence, with outcome measurements taken both before and after each treatment period. By serving as their own control across conditions, participants allow direct intra-individual comparison, dramatically increasing statistical power while reducing the sample size required relative to a parallel-group design.	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).