Methoden vergleichen

	Faktorielles ABAB-Design	Faktorielles Experiment
Fachgebiet	Versuchsplanung	Versuchsplanung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1960s–1970s (integration of factorial and single-subject reversal traditions)	1926–1935
Urheber	Derived from Sidman (1960) reversal logic and Fisher & Yates factorial principles; systematized in applied behavior analysis	Ronald A. Fisher
Typ	Single-subject experimental design	Quantitative experimental design
Wegweisende Quelle	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Aliasnamen	factorial reversal design, factorial withdrawal design, multi-factor ABAB design, factorial single-subject reversal	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Verwandt	5	6
Zusammenfassung	The factorial ABAB design embeds a factorial structure within the classical ABAB reversal framework, enabling a single participant or a small set of participants to experience multiple factor combinations across alternating baseline (A) and treatment (B) phases. By systematically withdrawing and reinstating treatment conditions that vary across two or more factors, the design allows examination of both main effects and interactions at the individual level, providing strong experimental control through within-subject replication.	A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect.