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Conception AB par blocs×Conception à lignes de base multiples×
DomainePlans d'expériencesPlans d'expériences
FamilleProcess / pipelineProcess / pipeline
Année d'origine1970s–1980s (systematic development of blocked randomization in single-case research)1968
Auteur d'origineBased on Fisher's randomized block principle (1926) applied to single-case AB designsDonald M. Baer, Montrose M. Wolf, Todd R. Risley
TypeSingle-subject experimental design with blockingSingle-subject experimental design
Source fondatriceEdgington, E., & Onghena, P. (2007). Randomization Tests (4th ed.). Chapman and Hall/CRC. ISBN: 978-1584885894Baer, D. M., Wolf, M. M., & Risley, T. R. (1968). Some current dimensions of applied behavior analysis. Journal of Applied Behavior Analysis, 1(1), 91–97. DOI ↗
Aliasblocked AB single-case design, randomized block AB design, AB design with blocking, blocked baseline-treatment designMBD, multiple-baseline single-case design, staggered baseline design, multiple-probe design
Apparentées64
RésuméThe Blocked AB Design applies the logic of randomized block experimental design to the classic single-subject AB framework. Observation sessions are organized into blocks — matched sets of time points or contextual units — and the assignment of baseline (A) and treatment (B) phases is randomized within each block. This controls for nuisance time-based variability while preserving the interpretive simplicity of the fundamental two-phase single-case structure.The multiple baseline design is a single-subject experimental design that demonstrates functional control by introducing an intervention at staggered time points across two or more baselines — typically across different behaviors, individuals, or settings. Because no withdrawal of treatment is required, it is especially suitable when the target behavior is irreversible or when removing an effective intervention would be unethical.
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ScholarGateComparer des méthodes: Blocked AB Design · Multiple Baseline Design. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare