Σύγκριση μεθόδων

	Προσαρμοστικός Σχεδιασμός ABAB	Σχεδιασμός Πολλαπλών Βασικών Γραμμών
Πεδίο	Πειραματικός Σχεδιασμός	Πειραματικός Σχεδιασμός
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1984 (foundational ABAB); adaptive extensions ~2000s–2010s	1968
Δημιουργός	Extended from Barlow & Hersen's ABAB reversal tradition; adaptive rules formalized in behavioral and clinical single-subject research (late 20th–early 21st century)	Donald M. Baer, Montrose M. Wolf, Todd R. Risley
Τύπος	Single-subject experimental design	Single-subject experimental design
Θεμελιώδης πηγή	Barlow, D. H., & Hersen, M. (1984). Single Case Experimental Designs: Strategies for Studying Behavior Change (2nd ed.). Pergamon Press. ISBN: 978-0205143641	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 reversal design, adaptive single-subject ABAB, ABAB with adaptive phase-change rules, dynamic ABAB design	MBD, multiple-baseline single-case design, staggered baseline design, multiple-probe design
Συναφείς	2	4
Σύνοψη	The Adaptive ABAB Design is a single-subject experimental methodology that extends the classic ABAB reversal design by incorporating data-driven, prospective decision rules to determine when to transition between baseline (A) and intervention (B) phases. Rather than fixing phase lengths in advance, the researcher uses pre-specified criteria — such as stability thresholds, slope targets, or effect-size benchmarks — to guide each phase change, improving both experimental control and clinical responsiveness.	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.