เปรียบเทียบวิธี

	การออกแบบ ABA แบบบล็อก	การออกแบบ ABAB
สาขาวิชา	การออกแบบการทดลอง	การออกแบบการทดลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1960s–1970s (ABA baseline); blocking extension developed through applied behavior analysis literature	1960s (Sidman 1960; Baer et al. 1968)
ผู้ริเริ่ม	ABA reversal logic: Wolf, Risley & Baer (1960s); blocking integration draws on Fisher's randomized block principles applied within single-case methodology	Murray Sidman; Baer, Wolf & Risley (applied behavior analysis formalization)
ประเภท	Single-subject experimental design with nuisance control	Single-subject experimental design
แหล่งต้นตำรับ	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881	Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books.
ชื่อเรียกอื่น	Blocked withdrawal design, ABA design with blocking, Blocked reversal single-subject design	reversal design, withdrawal design, ABAB reversal, operant reversal design
ที่เกี่ยวข้อง	5	4
สรุป	The Blocked ABA Design is a single-subject experimental approach that combines the classic ABA reversal logic (baseline, intervention, withdrawal) with block-based session organization to control for time-related or contextual nuisance variation. By grouping observation sessions into blocks — such as days, weeks, or settings — and ensuring phase transitions align to block boundaries, the design isolates the effect of an intervention on an individual participant's repeated behavior measures more rigorously than an unblocked ABA.	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.