Salīdzināt metodes

	Adaptīvā vienas personas eksperimentālais dizains	Viena subjekta eksperimentālais dizains
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	Classical SSED: 1960s–1970s; adaptive extensions formalised: 2000s–2010s	1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
Autors	Evolved from classical single-case designs (Skinner, Sidman); adaptive features formalised in clinical N-of-1 literature (Zucker, Schmid, Nikles et al.)	Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
Tips	Experimental single-subject design with adaptive decision rules	Experimental research design
Pirmavots	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881	Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440
Citi nosaukumi	Adaptive SSED, Adaptive N-of-1 design, Adaptive single-case experimental design, Adaptive SCE design	SSED, single-case experimental design, n-of-1 design, intrasubject replication design
Saistītās	4	6
Kopsavilkums	Adaptive single-subject experimental design (adaptive SSED) is an experimental methodology in which a single participant or unit is repeatedly observed under systematically alternated conditions — baseline and intervention — while pre-specified decision rules allow the researcher or clinician to modify treatment parameters, phase lengths, or condition sequences in response to continuously collected data. It merges the internal validity of classical single-case experimental designs with the flexibility of adaptive trial logic, making it especially valuable in clinical, behavioral, and applied settings where individual response trajectories vary substantially.	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.