手法を比較

	二重盲検単一被験者実験計画	シングル被験者実験計画
分野	実験計画法	実験計画法
系統	Process / pipeline	Process / pipeline
提唱年	1970s–1980s (systematic integration of blinding into SCED)	1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
提唱者	Barlow, Hersen, and colleagues (single-subject tradition); double-blind masking adapted from clinical trial methodology	Murray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
種類	Experimental single-subject design with double-blind masking	Experimental research design
原典	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
別名	double-blind SCED, double-blind single-case experimental design, masked single-subject design, double-blind N-of-1 design	SSED, single-case experimental design, n-of-1 design, intrasubject replication design
関連	5	6
概要	A double-blind single-subject experimental design applies systematic masking — concealing treatment assignment from both the participant and the outcome assessor — within a within-person repeated-measures framework. It is used when researchers need strong causal inference about an intervention's effect on a single individual while guarding against placebo responses and observer bias. Particularly prominent in pharmacological, behavioral, and clinical rehabilitation research.	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.