Sammenlign metoder

	Blokeret Multiple Baseline Design	Single-Subject Experimental Design
Fagområde	Forsøgsdesign	Forsøgsdesign
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1968 (multiple baseline foundation); blocking variant codified 1980s–1990s	1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
Ophavsperson	Baer, Wolf & Risley (multiple baseline); blocking extension developed in applied behavior analysis literature	Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
Type	Single-subject experimental design with blocking	Experimental research design
Oprindelig kilde	Cooper, J. O., Heron, T. E., & Heward, W. L. (2020). Applied Behavior Analysis (3rd ed.). Pearson. ISBN: 978-0134752556	Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440
Aliasser	blocked MBD, blocked multiple-baseline, blocked multiple baseline across subjects, blocked SSED multiple baseline	SSED, single-case experimental design, n-of-1 design, intrasubject replication design
Relaterede	3	6
Resumé	A blocked multiple baseline design is a single-subject experimental approach that combines the logic of the multiple baseline design with blocking — the systematic grouping of participants, behaviors, or settings into matched sets — to reduce extraneous variability and strengthen causal inference. The intervention is introduced in a staggered sequence across baselines within each block, demonstrating experimental control through replication within and across blocks.	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.