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Article

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Accepted version

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2021-07-01

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/182718

The assessment of consistency in single-case experiments: Beyond A-B-A-B designs

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https://doi.org/10.1177/0145445519882889

Abstract

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.

Subject

Investigació de cas únic, Disseny d'experiments

Subject (English)

Single subject research, Experimental design

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Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

Citation

TANIOUS, René, MANOLOV, Rumen and ONGHENA, Patrick. The assessment of consistency in single-case experiments: Beyond A-B-A-B designs. Behavior Modification. 2021. Vol. 45, num. 4, pags. 560-580. ISSN 0145-4455. [consulted: 15 of August of 2026]. Available at: https://hdl.handle.net/2445/182718

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