Σύγκριση μεθόδων

	Προσαρμοστικός Σχεδιασμός ABA	Σχεδιασμός Πολλαπλών Βασικών Γραμμών
Πεδίο	Πειραματικός Σχεδιασμός	Πειραματικός Σχεδιασμός
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1968 (ABA foundation); adaptive extensions formalized ~2010–2020	1968
Δημιουργός	Baer, Wolf & Risley (ABA baseline); adaptive decision-rule extensions developed in single-case methodology literature (Kratochwill & Levin, 2010s)	Donald M. Baer, Montrose M. Wolf, Todd R. Risley
Τύπος	Single-subject experimental design with adaptive phase rules	Single-subject experimental design
Θεμελιώδης πηγή	Baer, 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.	Baer, 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.
Εναλλακτικές ονομασίες	adaptive withdrawal design, adaptive ABA withdrawal design, data-driven ABA design, adaptive single-case ABA	MBD, multiple-baseline single-case design, staggered baseline design, multiple-probe design
Συναφείς	6	4
Σύνοψη	The Adaptive ABA Design is a single-subject experimental framework that follows the classic three-phase ABA withdrawal structure — baseline (A1), intervention (B), and return-to-baseline (A2) — while embedding prospective decision rules that allow researchers or clinicians to extend, shorten, or otherwise modify each phase in response to observed data patterns rather than following a fixed schedule. This adaptive layer makes the design responsive to individual participant trajectories while preserving experimental control.	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.