Сравнение методов

	Кластерный рандомизированный дизайн с множественными базовыми линиями	Односубъектный экспериментальный дизайн
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	1990s–2000s	1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
Автор метода	Extension of Baer, Wolf & Risley (1968) multiple baseline; cluster adaptation by Murray and colleagues (1990s)	Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
Тип	Experimental design (single-subject / small-N with cluster randomization)	Experimental research design
Основополагающий источник	Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120424	Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440
Другие названия	CR-MBD, cluster-randomized MBD, group-randomized multiple baseline, multilevel multiple baseline design	SSED, single-case experimental design, n-of-1 design, intrasubject replication design
Связанные	5	6
Сводка	The cluster randomized multiple baseline design combines cluster-level random assignment with the logic of the multiple baseline design. Intact groups — such as classrooms, schools, or clinics — are randomly assigned to receive an intervention at staggered time points. This preserves the within-unit repeated-measure logic of the multiple baseline while adding the causal warrant of random assignment at the cluster level.	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.