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Consistent Visual Analysis of Multielement Data: A Preliminary Evaluation.

Margaret R Gifford1,2, Jeffrey H Tiger1, Michael J Harman3

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This summary is machine-generated.

Experts demonstrated high agreement when visually analyzing graphical displays of hypothetical data in multielement experimental designs. This supports the reliability of visual analysis for evaluating experimental control in behavior-analytic research.

Keywords:
data analysismultielement designvisual inspection

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Area of Science:

  • Behavior Analysis
  • Research Methodology

Background:

  • Visual analysis is a common method for evaluating experimental control in behavior-analytic research.
  • Graphical displays are central to visual analysis, presenting data trends and experimental effects.

Purpose of the Study:

  • To assess the reliability of visual analysis in evaluating experimental control.
  • To examine expert agreement on the presence and degree of experimental control across varied graphical displays.

Main Methods:

  • 33 graphical displays of hypothetical data from multielement designs were presented to experts via an online survey.
  • Participants rated the presence/absence and degree (1-100 scale) of experimental control for each display.
  • Displays systematically varied in number of data paths, elevation above control, mean difference, and variability.

Main Results:

  • High correspondence was found among experts' ratings of experimental control across all graphical displays.
  • This indicates consistent evaluation of experimental control irrespective of display variations.

Conclusions:

  • Visual analysis is a reliable method for evaluating experimental control in behavior-analytic research.
  • Expert agreement supports the use of graphical displays and visual analysis as dependable tools.