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Disegno ABA Fattoriale×Disegno a Baseline Multiple×
CampoDisegno sperimentaleDisegno sperimentale
FamigliaProcess / pipelineProcess / pipeline
Anno di origine1968 (ABA base); factorial extensions developed through 1980s–2000s1968
IdeatoreDerived from ABA reversal design (Baer, Wolf & Risley, 1968) extended with factorial manipulation principlesDonald M. Baer, Montrose M. Wolf, Todd R. Risley
TipoSingle-case experimental design with factorial treatment structureSingle-subject experimental design
Fonte seminaleKratochwill, T. R., & Levin, J. R. (Eds.). (2010). Single-Case Intervention Research: Methodological and Statistical Advances. American Psychological Association. ISBN: 978-1433807909Baer, 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 ↗
AliasFactorial reversal design, Multi-factor ABA design, Factorial withdrawal design, SCED factorial ABAMBD, multiple-baseline single-case design, staggered baseline design, multiple-probe design
Correlati64
SintesiThe Factorial ABA design embeds a factorial treatment structure within the ABA reversal framework. Rather than testing a single treatment against baseline, the researcher systematically varies two or more independent variables (factors) across treatment phases, using the ABA withdrawal logic to establish experimental control. This makes it possible to examine main effects and interactions among treatment components within a single-case or small-N experimental context.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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  3. PUBLISHED

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ScholarGateConfronta i metodi: Factorial ABA Design · Multiple Baseline Design. Consultato il 2026-06-18 da https://scholargate.app/it/compare