Porównaj metody

	Zaprojektowanie ABA z blokami	Zaprojektowanie eksperymentalne z blokami AB
Dziedzina	Planowanie eksperymentów	Planowanie eksperymentów
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1960s–1970s (ABA baseline); blocking extension developed through applied behavior analysis literature	1970s–1980s (systematic development of blocked randomization in single-case research)
Twórca	ABA reversal logic: Wolf, Risley & Baer (1960s); blocking integration draws on Fisher's randomized block principles applied within single-case methodology	Based on Fisher's randomized block principle (1926) applied to single-case AB designs
Typ	Single-subject experimental design with nuisance control	Single-subject experimental design with blocking
Źródło pierwotne	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881	Edgington, E., & Onghena, P. (2007). Randomization Tests (4th ed.). Chapman and Hall/CRC. ISBN: 978-1584885894
Inne nazwy	Blocked withdrawal design, ABA design with blocking, Blocked reversal single-subject design	blocked AB single-case design, randomized block AB design, AB design with blocking, blocked baseline-treatment design
Pokrewne	5	6
Podsumowanie	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 Blocked AB Design applies the logic of randomized block experimental design to the classic single-subject AB framework. Observation sessions are organized into blocks — matched sets of time points or contextual units — and the assignment of baseline (A) and treatment (B) phases is randomized within each block. This controls for nuisance time-based variability while preserving the interpretive simplicity of the fundamental two-phase single-case structure.