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The Assessment of Consistency in Single-Case Experiments: Beyond A-B-A-B Designs

Tijdschriftbijdrage - Tijdschriftartikel

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.
Tijdschrift: Behavior Modification
ISSN: 0145-4455
Issue: 4
Volume: 45
Pagina's: 560 - 580
Jaar van publicatie:2019
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:1
CSS-citation score:1
Auteurs:International
Authors from:Higher Education
Toegankelijkheid:Open