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طرح آزمایشی فاکتوریل تک‌موضوعی×طرح خط مبنای چندگانه×
حوزهطراحی آزمایشطراحی آزمایش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1970s–1980s1968
پدیدآورApplied behavior analysis tradition; systematized in Barlow & Hersen (1984) and Kazdin (1982)Donald M. Baer, Montrose M. Wolf, Todd R. Risley
نوعExperimental single-subject design with multiple independent variablesSingle-subject experimental design
منبع بنیادینKazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881Baer, 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 ↗
نام‌های دیگرfactorial SCED, factorial single-case design, factorial N-of-1 design, factorial within-subject experimental designMBD, multiple-baseline single-case design, staggered baseline design, multiple-probe design
مرتبط64
خلاصهA factorial single-subject experimental design applies the logic of factorial experiments — manipulating two or more independent variables simultaneously to study main effects and interactions — within a single-subject (N=1 or small N) repeated-measures framework. Instead of comparing groups, the same individual serves as their own control across systematically varied conditions, enabling fine-grained analysis of how multiple treatment components combine to influence behavior or clinical outcomes.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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ScholarGateمقایسهٔ روش‌ها: Factorial Single-Subject Experimental Design · Multiple Baseline Design. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare