Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots

The current text deals with the assessment of consistency of data features from experimentally similar phases and consistency of effects in single-case experimental designs. Although consistency is frequently mentioned as a critical feature, few quantifications have been proposed so far: namely, und...

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Detalles Bibliográficos
Autores: Manolov, Rumen, Tanious, René
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/185069
Acceso en línea:https://hdl.handle.net/2445/185069
Access Level:acceso abierto
Palabra clave:Investigació de cas únic
Disseny d'experiments
Single subject research
Experimental design
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spelling Assessing Consistency in Single-Case Data Features Using Modified Brinley PlotsManolov, RumenTanious, RenéInvestigació de cas únicDisseny d'experimentsSingle subject researchExperimental designThe current text deals with the assessment of consistency of data features from experimentally similar phases and consistency of effects in single-case experimental designs. Although consistency is frequently mentioned as a critical feature, few quantifications have been proposed so far: namely, under the acronyms CONDAP (consistency of data patterns in similar phases) and CONEFF (consistency of effects). Whereas CONDAP allows assessing the consistency of data patterns, the proposals made here focus on the consistency of data features such as level, trend, and variability, as represented by summary measures (mean, ordinary least squares slope, and standard deviation, respectively). The assessment of consistency of effect is also made in terms of these three data features, while also including the study of the consistency of an immediate effect (if expected). The summary measures are represented as points on a modified Brinley plot and their similarity is assessed via quantifications of distance. Both absolute and relative measures of consistency are proposed: the former expressed in the same measurement units as the outcome variable and the latter as a percentage. Illustrations with real data sets (multiple baseline, ABAB, and alternating treatments designs) show the wide applicability of the proposals. We developed a user-friendly website to offer both the graphical representations and the quantifications.SAGE Publications2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/185069Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1177/0145445520982969Behavior Modification, 2022, vol. 46, num. 3, p. 581-627https://doi.org/10.1177/0145445520982969(c) Manolov, Rumen et al., 2022info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1850692026-05-27T06:46:51Z
dc.title.none.fl_str_mv Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
title Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
spellingShingle Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
Manolov, Rumen
Investigació de cas únic
Disseny d'experiments
Single subject research
Experimental design
title_short Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
title_full Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
title_fullStr Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
title_full_unstemmed Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
title_sort Assessing Consistency in Single-Case Data Features Using Modified Brinley Plots
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 Investigació de cas únic
Disseny d'experiments
Single subject research
Experimental design
topic Investigació de cas únic
Disseny d'experiments
Single subject research
Experimental design
description The current text deals with the assessment of consistency of data features from experimentally similar phases and consistency of effects in single-case experimental designs. Although consistency is frequently mentioned as a critical feature, few quantifications have been proposed so far: namely, under the acronyms CONDAP (consistency of data patterns in similar phases) and CONEFF (consistency of effects). Whereas CONDAP allows assessing the consistency of data patterns, the proposals made here focus on the consistency of data features such as level, trend, and variability, as represented by summary measures (mean, ordinary least squares slope, and standard deviation, respectively). The assessment of consistency of effect is also made in terms of these three data features, while also including the study of the consistency of an immediate effect (if expected). The summary measures are represented as points on a modified Brinley plot and their similarity is assessed via quantifications of distance. Both absolute and relative measures of consistency are proposed: the former expressed in the same measurement units as the outcome variable and the latter as a percentage. Illustrations with real data sets (multiple baseline, ABAB, and alternating treatments designs) show the wide applicability of the proposals. We developed a user-friendly website to offer both the graphical representations and the quantifications.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/185069
url https://hdl.handle.net/2445/185069
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1177/0145445520982969
Behavior Modification, 2022, vol. 46, num. 3, p. 581-627
https://doi.org/10.1177/0145445520982969
dc.rights.none.fl_str_mv (c) Manolov, Rumen et al., 2022
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Manolov, Rumen et al., 2022
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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