The effects of x‐axis time compression on the visual analysis of single‐case data

Single‐case design is a research methodology that entails repeated measurement to assess the influence of an independent variable on a dependent variable over time. Data collected in this manner are regularly analyzed using visual analysis of data displayed in a linear graph. Although there is agree...

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Bibliographic Details
Published in:Psychology in the schools 2023-10, Vol.60 (10), p.4029-4038
Main Authors: Dart, Evan H., Radley, Keith C.
Format: Article
Language:English
Subjects:
Calendars
Data Analysis
Data Collection
data‐based decision making
Decision Making
Graphs
Interrater Reliability
Intervention
linear graphs
Measurement
progress monitoring
Reliability
Research Design
Research Methodology
Scaling
Standardization
visual analysis
Visual representation
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Summary:Single‐case design is a research methodology that entails repeated measurement to assess the influence of an independent variable on a dependent variable over time. Data collected in this manner are regularly analyzed using visual analysis of data displayed in a linear graph. Although there is agreement regarding critical elements of visual analysis, research has highlighted poor reliability between raters. One potential contributor to this poor reliability are variations in visual presentation of the data during construction of the linear graph. The current study sought to determine the potential effect of one common variation, scaling of the x‐axis by intervention session or by calendar date. Results of the study indicated a significant effect of x‐axis scaling, with data presented by session, rather than by calendar day, judged as reflecting larger intervention effects, Z = 1981, p 
ISSN:0033-3085
1520-6807
DOI:10.1002/pits.22985