An exploration of the interrater agreement of visual analysis with and without context

Visual analysis is integral to the analysis of single-case experimental design (SCED) data. Previous studies have shown that many factors may influence the interrater agreement (IRA) of visual analysis. One factor that has received little direct attention is the impact of contextual information. In...

Full description

Saved in:
Bibliographic Details
Published inJournal of applied behavior analysis Vol. 53; no. 1; p. 572
Main Authors Ford, Andrea L B, Rudolph, Brenna N, Pennington, Brittany, Byiers, Breanne J
Format Journal Article
LanguageEnglish
Published United States 2020
Subjects
single-subject design
visual inspection
data analysis
interrater agreement
reliability
Online AccessGet more information

Cover

More Information
Summary:Visual analysis is integral to the analysis of single-case experimental design (SCED) data. Previous studies have shown that many factors may influence the interrater agreement (IRA) of visual analysis. One factor that has received little direct attention is the impact of contextual information. In the current study, authors of recently published SCED studies were asked to make judgments regarding functional relations based on published datasets that met criteria for design quality. Respondents were randomly assigned to view graphs with or without contextual information and the degree of interrater agreement was compared. Results revealed that contextual information had no impact on IRA for decisions of a functional relation. IRA was high across both groups for 6 of the 7 datasets examined. Implications and recommendations based on these results are discussed.
ISSN:1938-3703
DOI:10.1002/jaba.560