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

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...

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Autores: Manolov, Rumen, Tanious, René
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/224274
Acceso en línea:https://hdl.handle.net/2445/224274
Access Level:acceso abierto
Palabra clave:Disseny d'experiments
Investigació quantitativa
Experimental design
Quantitative research
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spelling Assessing Nonoverlap in Single-Case Data: Strengths Challenges and RecommendationsManolov, RumenTanious, RenéDisseny d'experimentsInvestigació quantitativaExperimental designQuantitative researchOverlap 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 SCEDsSpringer2025202520242025info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article33 p.application/pdfhttps://hdl.handle.net/2445/224274Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1007/s10864-024-09552-w2024https://doi.org/10.1007/s10864-024-09552-wcc-by-nc-nd (c) Manolov Rumen et al., 2024http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/2242742026-05-29T05:05:01Z
dc.title.none.fl_str_mv Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
title Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
spellingShingle Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
Manolov, Rumen
Disseny d'experiments
Investigació quantitativa
Experimental design
Quantitative research
title_short Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
title_full Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
title_fullStr Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
title_full_unstemmed Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
title_sort Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations
dc.creator.none.fl_str_mv Manolov, Rumen
Tanious, René
author Manolov, Rumen
author_facet Manolov, Rumen
Tanious, René
author_role author
author2 Tanious, René
author2_role author
dc.subject.none.fl_str_mv Disseny d'experiments
Investigació quantitativa
Experimental design
Quantitative research
topic Disseny d'experiments
Investigació quantitativa
Experimental design
Quantitative research
description 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
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/224274
url https://hdl.handle.net/2445/224274
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1007/s10864-024-09552-w
2024
https://doi.org/10.1007/s10864-024-09552-w
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Manolov Rumen et al., 2024
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) Manolov Rumen et al., 2024
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 33 p.
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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