Salīdzināt metodes

	Faktoriālais vienas personas eksperimentālais dizains	Faktoriālais eksperiments
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1970s–1980s	1926–1935
Autors	Applied behavior analysis tradition; systematized in Barlow & Hersen (1984) and Kazdin (1982)	Ronald A. Fisher
Tips	Experimental single-subject design with multiple independent variables	Quantitative experimental design
Pirmavots	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.
Citi nosaukumi	factorial SCED, factorial single-case design, factorial N-of-1 design, factorial within-subject experimental design	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Saistītās	6	6
Kopsavilkums	A factorial single-subject experimental design applies the logic of factorial experiments — manipulating two or more independent variables simultaneously to study main effects and interactions — within a single-subject (N=1 or small N) repeated-measures framework. Instead of comparing groups, the same individual serves as their own control across systematically varied conditions, enabling fine-grained analysis of how multiple treatment components combine to influence behavior or clinical outcomes.	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.