Salīdzināt metodes

	Faktoriālā ABA dizains	Faktoriālais eksperiments
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1968 (ABA base); factorial extensions developed through 1980s–2000s	1926–1935
Autors	Derived from ABA reversal design (Baer, Wolf & Risley, 1968) extended with factorial manipulation principles	Ronald A. Fisher
Tips	Single-case experimental design with factorial treatment structure	Quantitative experimental design
Pirmavots	Kratochwill, T. R., & Levin, J. R. (Eds.). (2010). Single-Case Intervention Research: Methodological and Statistical Advances. American Psychological Association. ISBN: 978-1433807909	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Citi nosaukumi	Factorial reversal design, Multi-factor ABA design, Factorial withdrawal design, SCED factorial ABA	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Saistītās	6	6
Kopsavilkums	The Factorial ABA design embeds a factorial treatment structure within the ABA reversal framework. Rather than testing a single treatment against baseline, the researcher systematically varies two or more independent variables (factors) across treatment phases, using the ABA withdrawal logic to establish experimental control. This makes it possible to examine main effects and interactions among treatment components within a single-case or small-N experimental context.	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.