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Blocked ABA Design×단일-피험자 실험 설계×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도1960s–1970s (ABA baseline); blocking extension developed through applied behavior analysis literature1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)
창시자ABA reversal logic: Wolf, Risley & Baer (1960s); blocking integration draws on Fisher's randomized block principles applied within single-case methodologyMurray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)
유형Single-subject experimental design with nuisance controlExperimental research design
원전Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440
별칭Blocked withdrawal design, ABA design with blocking, Blocked reversal single-subject designSSED, single-case experimental design, n-of-1 design, intrasubject replication design
관련56
요약The Blocked ABA Design is a single-subject experimental approach that combines the classic ABA reversal logic (baseline, intervention, withdrawal) with block-based session organization to control for time-related or contextual nuisance variation. By grouping observation sessions into blocks — such as days, weeks, or settings — and ensuring phase transitions align to block boundaries, the design isolates the effect of an intervention on an individual participant's repeated behavior measures more rigorously than an unblocked ABA.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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