विधियों की तुलना करें

	डबल-ब्लाइंड एबी डिज़ाइन	ABAB डिज़ाइन
क्षेत्र	प्रयोगात्मक अभिकल्प	प्रयोगात्मक अभिकल्प
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1960s (AB design); double-blinding integration in single-case clinical research from the 1980s–1990s	1960s (Sidman 1960; Baer et al. 1968)
प्रवर्तक	Derived from the AB single-subject design tradition (Sidman 1960; Baer, Wolf, & Risley 1968) combined with double-blinding conventions from clinical trial methodology	Murray Sidman; Baer, Wolf & Risley (applied behavior analysis formalization)
प्रकार	Single-subject experimental design with double-blinding	Single-subject experimental design
मौलिक स्रोत	Kazdin, A. E. (1982). Single-Case Research Designs: Methods for Clinical and Applied Settings. Oxford University Press. ISBN: 978-0195030440	Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books.
उपनाम	blinded AB design, double-blind single-case AB, masked AB design, double-blind baseline-intervention design	reversal design, withdrawal design, ABAB reversal, operant reversal design
संबंधित	5	4
सारांश	The double-blind AB design is a single-subject experimental approach that sequences a baseline phase (A) and an intervention phase (B) while concealing phase allocation from both the participant and the outcome assessor. It merges the idiographic focus of single-case methodology with the bias-control mechanism of double-blinding, making it especially useful in clinical rehabilitation, pain research, and behavioral medicine when objective measurement of an individual's response to treatment is the primary goal.	The ABAB design is a single-subject experimental methodology that establishes causal control by repeatedly introducing and removing an intervention. A baseline phase (A) is followed by an intervention phase (B), then a return to baseline (A), and a second intervention phase (B), allowing the researcher to demonstrate that observed behavior changes are produced by the intervention rather than by coincidental factors.