Evaluation of treatment effect estimates in single‐case experimental research: comparison of twelve overlap methods and visual analysis

The purpose of this study was to compare 12 commonly‐used nonoverlap methods with each other and with the results of visual analysis. Data were obtained from 25 studies focused on embedded instruction and schema‐based instruction and included a total of 101 graphs. Treatment effect estimates using 1...

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Bibliographic Details
Published in:British journal of special education 2020-03, Vol.47 (1), p.67-87
Main Authors: Yucesoy‐Ozkan, Serife, Rakap, Salih, Gulboy, Emrah
Format: Article
Language:English
Subjects:
Analysis
Computation
Data Analysis
Effect Size
Evaluation Methods
Experts
Graphs
nonoverlap methods
Research Methodology
single‐case experimental research
treatment effect estimates
visual analysis
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Summary:The purpose of this study was to compare 12 commonly‐used nonoverlap methods with each other and with the results of visual analysis. Data were obtained from 25 studies focused on embedded instruction and schema‐based instruction and included a total of 101 graphs. Treatment effect estimates using 12 nonoverlap methods were calculated for each graph by hand or using an online calculator. Five experts conducted visual analysis of each graph. Results showed that strong agreements existed between visual analysis and PND, TauNOVLAP and Tau‐U when raw data were analysed, and PND, PNCD and PEM‐T when categorised data were analysed. Of the 12 methods investigated, PND had the highest agreement rate with visual analysis, followed by PEM‐T, PAND, PNCD, IRD, NAP and TauNOVLAP. Overall, visual analysis appeared to be more conservative, as most nonoverlap methods overestimated the treatment effect. Additional research is needed to replicate and potentially validate the findings of this study.
ISSN:0952-3383
1467-8578
DOI:10.1111/1467-8578.12294