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Disseny Experimental de Subjecte Únic×Disseny ABAB×
CampDisseny experimentalDisseny experimental
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1960s (Sidman 1960; formal applied codification by Kazdin and Baer in 1970s–1980s)1960s (Sidman 1960; Baer et al. 1968)
Autor originalMurray Sidman (foundational tactics); B. F. Skinner (applied behavior analysis lineage)Murray Sidman; Baer, Wolf & Risley (applied behavior analysis formalization)
TipusExperimental research designSingle-subject experimental design
Font seminalKazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books. link ↗
ÀliesSSED, single-case experimental design, n-of-1 design, intrasubject replication designreversal design, withdrawal design, ABAB reversal, operant reversal design
Relacionats64
ResumSingle-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.The ABAB design is a single-subject experimental methodology that establishes causal control by repeatedly introducing and removing an intervention. A baseline phase (A) is followed by an intervention phase (B), then a return to baseline (A), and a second intervention phase (B), allowing the researcher to demonstrate that observed behavior changes are produced by the intervention rather than by coincidental factors.
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ScholarGateCompara mètodes: Single-Subject Experimental Design · ABAB design. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare