Linganisha mbinu

	Muundo wa ABA wa Kufungwa Macho Mara Moja	Muundo wa AB wa Kufungwa Macho Mara Moja
Nyanja	Muundo wa Majaribio	Muundo wa Majaribio
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1968 (ABA design); single-blind adaptation developed through 1970s–1980s clinical behavioral research	1960s (AB methodology); blinding adaptation in single-case research developed from 1970s onward
Mwanzilishi	Montrose Wolf, Donald Baer, Todd Risley (ABA tradition); single-blind masking adapted from clinical trial methodology	Murray Sidman; Baer, Wolf & Risley (AB logic); blinding conventions adapted from clinical trial methodology
Aina	Single-subject experimental design with assessor blinding	Single-subject experimental design with assessor masking
Chanzo asilia	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.	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 9780195341881
Majina mbadala	single-blind reversal design, single-masked ABA design, single-blind withdrawal design, assessor-blind ABA design	assessor-blind AB design, single-masked AB single-case design, observer-blind AB phase design
Zinazohusiana	5	6
Muhtasari	The single-blind ABA design combines the three-phase reversal logic of the ABA single-subject design — baseline (A1), intervention (B), and withdrawal (A2) — with single-blind masking, in which outcome assessors are kept unaware of the current phase or treatment condition while the participant and intervention team remain aware. This blinding reduces observer bias in behavioral measurement across the three phases.	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.