Three Alternatives for Graphing Behavioral Data: A Comparison of Usability and Acceptability

Making treatment decisions based upon graphed data is important in helping professions. A small amount of research has compared usability between equal-interval and semi-log graphs, but no prior studies have compared different types of semi-log graphs. Using a randomized, cross-over, experimental de...

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Veröffentlicht in:Behavior modification 2022-01, Vol.46 (1), p.3-35
Hauptverfasser: Kinney, Chad E. L., Begeny, John C., Stage, Scott A., Patterson, Sierra, Johnson, Amirra
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container_end_page 35
container_issue 1
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container_title Behavior modification
container_volume 46
creator Kinney, Chad E. L.
Begeny, John C.
Stage, Scott A.
Patterson, Sierra
Johnson, Amirra
description Making treatment decisions based upon graphed data is important in helping professions. A small amount of research has compared usability between equal-interval and semi-log graphs, but no prior studies have compared different types of semi-log graphs. Using a randomized, cross-over, experimental design with 72 participants, this study examined the relative usability and acceptability of three types of graphs: Regular (equal-interval), Standard Celeration Chart (SCC; semi-log), and Standard Behavior Graph (SBG; semi-log). All participants used each graph across three usability tasks (Plotting Data, Writing Values, and Interpreting Trends). For the Plotting and Writing tasks, the equal-interval graph produced the greatest rate of correct responses. However, for the Interpreting task the SBG produced the greatest rate of corrects, while the equal-interval graph produced the smallest rate. User acceptability mainly favored the equal-interval and SBG graphs. Study findings and implications are discussed with respect to graph usability and acceptability during day-to-day practice.
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source SAGE Complete A-Z List; MEDLINE
subjects Cognition
Data Visualization
Decision Making
Graphs
Humans
Usability
Visual Perception
title Three Alternatives for Graphing Behavioral Data: A Comparison of Usability and Acceptability
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