مقایسهٔ روش‌ها

	طرح AB تطبیقی	طراحی آزمایشی تک‌موضوعی
حوزه	طراحی آزمایش	طراحی آزمایش
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1968 (AB foundation); 2000s (adaptive extensions)	1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
پدیدآور	Baer, Wolf & Risley (AB foundation); Kratochwill & Levin (adaptive single-case extensions)	Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
نوع	Single-subject experimental design with adaptive phase-change rules	Experimental research design
منبع بنیادین	Baer, D. M., Wolf, M. M., & Risley, T. R. (1968). Some current dimensions of applied behavior analysis. Journal of Applied Behavior Analysis, 1(1), 91-97.	Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440
نام‌های دیگر	adaptive single-case AB design, data-driven AB design, adaptive baseline-intervention design, adaptive AB phase design	SSED, single-case experimental design, n-of-1 design, intrasubject replication design
مرتبط	6	6
خلاصه	The adaptive AB design is a single-subject experimental design that retains the two-phase baseline-then-intervention structure of the classic AB design but replaces fixed session-count rules with pre-specified data-driven criteria — such as stability thresholds or trend benchmarks — that determine when to transition between phases. This adaptive logic allows the phase boundary to move in response to the individual participant's actual performance trajectory rather than a predetermined schedule.	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.