Salīdzināt metodes

	Faktoriālā ABA dizains	Viena subjekta eksperimentālais dizains
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1968 (ABA base); factorial extensions developed through 1980s–2000s	1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
Autors	Derived from ABA reversal design (Baer, Wolf & Risley, 1968) extended with factorial manipulation principles	Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
Tips	Single-case experimental design with factorial treatment structure	Experimental research design
Pirmavots	Kratochwill, T. R., & Levin, J. R. (Eds.). (2010). Single-Case Intervention Research: Methodological and Statistical Advances. American Psychological Association. ISBN: 978-1433807909	Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440
Citi nosaukumi	Factorial reversal design, Multi-factor ABA design, Factorial withdrawal design, SCED factorial ABA	SSED, single-case experimental design, n-of-1 design, intrasubject replication 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.	Single-subject experimental design (SSED) establishes experimental control by repeatedly measuring one individual (or a small number of individuals) across baseline and intervention phases, using the participant as their own control. Instead of comparing groups, it compares the participant's own behavior across conditions over time. Widely used in applied behavior analysis, special education, rehabilitation, and clinical psychology, SSED allows causal inference from small or unique samples where group designs are impractical.