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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/182718
The assessment of consistency in single-case experiments: Beyond A-B-A-B designs
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Quality standards for single-case experimental designs (SCEDs) recommend inspecting six data aspects: level, trend, variability, overlap, immediacy, and consistency of data patterns. The data aspect consistency has long been neglected by visual and statistical analysts of SCEDs despite its importance for inferring a causal relationship. However, recently a first quantification has been proposed in the context of A-B-A-B designs, called CONsistency of DAta Patterns (CONDAP). In the current paper, we extend the existing CONDAP measure for assessing consistency in designs with more than two successive A-B elements (e.g., A-BA-B-A-B), multiple baseline designs, and changing criterion designs. We illustrate each quantification with published research.
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TANIOUS, René, MANOLOV, Rumen, ONGHENA, Patrick. The assessment of consistency in single-case experiments: Beyond A-B-A-B designs. _Behavior Modification_. 2021. Vol. 45, núm. 4, pàgs. 560-580. [consulta: 12 de febrer de 2026]. ISSN: 0145-4455. [Disponible a: https://hdl.handle.net/2445/182718]