The Assessment of Consistency in Single-Case Experiments: Beyond A-B-A-B Designs. Issue 4 (July 2021)

• Record Type: Journal Article
• Authors: Tanious, René; Manolov, Rumen; Onghena, Patrick
• Is Part Of: Behavior modification. Volume 45:Issue 4(2021)
• Page Start: 560
• Page End: 580
• Publication Date: 2021-07
• Subjects: single-case experimental designs -- effect sizes -- consistency -- statistical analysis -- visual analysis -- multiple baseline design -- changing criterion design; Behavior modification -- Periodicals; Behavior therapy -- Periodicals; 153.85
• DOI: 10.1177/0145445519882889
• Languages: English
• ISSNs: 0145-4455

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-B-A-B-A-B), multiple baseline designs, and changing criterion designs. We illustrate each quantification with published research.