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Παραγοντικός Σχεδιασμός Μονοατομικού Πειραματικού Ελέγχου×Σχεδιασμός Πολλαπλών Βασικών Γραμμών×
ΠεδίοΠειραματικός ΣχεδιασμόςΠειραματικός Σχεδιασμός
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1970s–1980s1968
ΔημιουργόςApplied behavior analysis tradition; systematized in Barlow & Hersen (1984) and Kazdin (1982)Donald M. Baer, Montrose M. Wolf, Todd R. Risley
ΤύποςExperimental single-subject design with multiple independent variablesSingle-subject experimental design
Θεμελιώδης πηγήKazdin, 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 ↗
Εναλλακτικές ονομασίεςfactorial 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
Συναφείς64
ΣύνοψηA 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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ScholarGateΣύγκριση μεθόδων: Factorial Single-Subject Experimental Design · Multiple Baseline Design. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare