Methoden vergelijken

	Single-blind ABA-ontwerp	Single-blind AB-ontwerp
Vakgebied	Experimenteel ontwerp	Experimenteel ontwerp
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	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
Grondlegger	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
Type	Single-subject experimental design with assessor blinding	Single-subject experimental design with assessor masking
Oorspronkelijke bron	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
Aliassen	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
Verwant	5	6
Samenvatting	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.