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868789.pdf (1.73 MB)

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2024-06-19

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cc-by-nc-nd (c) Manolov Rumen et al., 2024
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/224274

Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations

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Recurs relacionat

https://doi.org/10.1007/s10864-024-09552-w

Resum

Overlap is one of the data aspects that are expected to be assessed when visually inspecting single-case experimental designs (SCED) data. A frequently used quanti- fication of overlap is the Nonoverlap of All Pairs (NAP). The current article reviews the main strengths and challenges when using this index, as compared to other nono- verlap indices such as Tau and the Percentage of data points exceeding the median. Four challenges are reviewed: the difficulty in representing NAP graphically, the presence of a ceiling effect, the disregard of trend, and the limitations in using p-values associated with NAP. Given the importance of complementing quantitative analysis and visual inspection of graphed data, straightforward quantifications and new graphical elements for the time-series plot are proposed as options for address- ing the first three challenges. The suggestions for graphical representations (repre- senting within-phase monotonic trend and across-phases overlaps) and additional numerical summaries (quantifying the degree of separation in case of complete non- overlap or the proportion of data points in the overlap zone) are illustrated with two multiple-baseline data sets. To make it easier to obtain the plots and quantifications, the recommendations are implemented in a freely available user-friendly website. Educational researchers can use this article to inform their use and application of NAP to meaningfully interpret this quantification in the context of SCEDs

Matèries

Disseny d'experiments, Investigació quantitativa

Matèries (anglès)

Experimental design, Quantitative research

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Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

Citació

MANOLOV, Rumen, TANIOUS, René. Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations. _2024_. [consulta: 25 de desembre de 2025]. ISSN: 1053-0819. [Disponible a: https://hdl.handle.net/2445/224274]

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