Structured Visual Analysis of Single Case Experimental Design Data: Developments and Technological Advancements
preprint
OA: closed
Abstract
Visual analysis is the primary method used to interpret single-case experimental design (SCED) data in applied behavior analysis. Research shows that agreement between visual analysts can be suboptimal at times. To address the inconsistent interpretations of SCED data, recent structured visual analysis technological advancements have been developed. To assess the extent to which structured visual analysis is used to guide or supplement applied behavior analyst’s interpretation of SCED graphs, a systematic review between the years of 2015 to 2020 in the Journal of Applied Behavior Analysis was conducted. Findings showed that despite recent efforts to develop structured visual analysis tools and criteria, these methods are rarely used to analyze SCED data. Here, an overview of structured visual analysis tools is shared, their utility is delineated, common characteristics are brought to light, and future directions for both their research and clinical use are highlighted.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00