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이중 맹검 AB 설계×단일-피험자 실험 설계×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도1960s (AB design); double-blinding integration in single-case clinical research from the 1980s–1990s1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
창시자Derived from the AB single-subject design tradition (Sidman 1960; Baer, Wolf, & Risley 1968) combined with double-blinding conventions from clinical trial methodologyMurray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
유형Single-subject experimental design with double-blindingExperimental research design
원전Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440
별칭blinded AB design, double-blind single-case AB, masked AB design, double-blind baseline-intervention designSSED, single-case experimental design, n-of-1 design, intrasubject replication design
관련56
요약The double-blind AB design is a single-subject experimental approach that sequences a baseline phase (A) and an intervention phase (B) while concealing phase allocation from both the participant and the outcome assessor. It merges the idiographic focus of single-case methodology with the bias-control mechanism of double-blinding, making it especially useful in clinical rehabilitation, pain research, and behavioral medicine when objective measurement of an individual's response to treatment is the primary goal.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.
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