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Systematic Protocols for the Visual Analysis of Single-Case Research Data

Abstract

Researchers in applied behavior analysis and related fields such as special education and school psychology use single-case designs to evaluate causal relations between variables and to evaluate the effectiveness of interventions. Visual analysis is the primary method by which single-case research data are analyzed; however, research suggests that visual analysis may be unreliable. In the absence of specific guidelines to operationalize the process of visual analysis, it is likely to be influenced by idiosyncratic factors and individual variability. To address this gap, we developed systematic, responsive protocols for the visual analysis of A-B-A-B and multiple-baseline designs. The protocols guide the analyst through the process of visual analysis and synthesize responses into a numeric score. In this paper, we describe the content of the protocols, illustrate their application to 2 graphs, and describe a small-scale evaluation study. We also describe considerations and future directions for the development and evaluation of the protocols.

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Correspondence to Katie Wolfe.

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Katie Wolfe declares that she has no conflict of interest. Erin E. Barton declares that she has no conflict of interest. Hedda Meadan declares that she has no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The University of South Carolina Institutional Review Board approved the procedures in this study.

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Informed consent was obtained from all individual participants included in the study.

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Wolfe, K., Barton, E.E. & Meadan, H. Systematic Protocols for the Visual Analysis of Single-Case Research Data. Behav Analysis Practice 12, 491–502 (2019). https://doi.org/10.1007/s40617-019-00336-7

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  • DOI: https://doi.org/10.1007/s40617-019-00336-7

Keywords

  • Visual analysis
  • Single-case research
  • Visual inspection
  • Data analysis