Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/182718
Title: | The assessment of consistency in single-case experiments: Beyond A-B-A-B designs |
Author: | Tanious, René Manolov, Rumen Onghena, Patrick |
Keywords: | Investigació de cas únic Disseny d'experiments Single subject research Experimental design |
Issue Date: | 1-Jul-2021 |
Publisher: | SAGE Publications |
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. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1177/0145445519882889 |
It is part of: | Behavior Modification, 2021, vol. 45, num. 4, p. 560-580 |
URI: | http://hdl.handle.net/2445/182718 |
Related resource: | https://doi.org/10.1177/0145445519882889 |
ISSN: | 0145-4455 |
Appears in Collections: | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) |
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