Сравнение методов

	Односторонний AB-дизайн	Дизайн ABAB
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	1960s (AB methodology); blinding adaptation in single-case research developed from 1970s onward	1960s (Sidman 1960; Baer et al. 1968)
Автор метода	Murray Sidman; Baer, Wolf & Risley (AB logic); blinding conventions adapted from clinical trial methodology	Murray Sidman; Baer, Wolf & Risley (applied behavior analysis formalization)
Тип	Single-subject experimental design with assessor masking	Single-subject experimental design
Основополагающий источник	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 9780195341881	Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books.
Другие названия	assessor-blind AB design, single-masked AB single-case design, observer-blind AB phase design	reversal design, withdrawal design, ABAB reversal, operant reversal design
Связанные	6	4
Сводка	The single-blind AB design is a single-subject experimental design that combines the two-phase AB structure — a baseline phase (A) followed by an intervention phase (B) — with assessor or observer masking. The individual collecting or rating outcome data is kept unaware of which phase is being measured, preventing knowledge of treatment status from biasing behavioral observations or ratings. The design improves on the standard AB design by reducing detection bias while retaining the practical and ethical advantages of single-subject methodology.	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.