Analyzing data from single-case alternating treatments designs

Alternating treatments designs (ATDs) have received comparatively less attention than other single-case experimental designs in terms of data analysis, as most analytical proposals and illustrations have been made in the context of designs including phases with several consecutive measurements in th...

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Detalles Bibliográficos
Autores: Manolov, Rumen, Onghena, Patrick
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
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:2445/134418
Acceso en línea:https://hdl.handle.net/2445/134418
Access Level:acceso abierto
Palabra clave:Psicologia
Anàlisi de regressió
Disseny d'experiments
Psychology
Regression analysis
Experimental design
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spelling Analyzing data from single-case alternating treatments designsManolov, RumenOnghena, PatrickPsicologiaAnàlisi de regressióDisseny d'experimentsPsychologyRegression analysisExperimental designAlternating treatments designs (ATDs) have received comparatively less attention than other single-case experimental designs in terms of data analysis, as most analytical proposals and illustrations have been made in the context of designs including phases with several consecutive measurements in the same condition. One of the specific features of ATDs is the rapid (and usually randomly determined) alternation of conditions, which requires adapting the analytical techniques. First, we review the methodologically desirable features of ATDs, as well as the characteristics of the published single-case research using an ATD, which are relevant for data analysis. Second, we review several existing options for ATD data analysis. Third, we propose 2 new procedures, suggested as alternatives improving some of the limitations of extant analytical techniques. Fourth, we illustrate the application of existing techniques and the new proposals in order to discuss their differences and similarities. We advocate for the use of the new proposals in ATDs, because they entail meaningful comparisons between the conditions without assumptions about the design or the data pattern. We provide R code for all computations and for the graphical representation of the comparisons involved. (PsycINFO Database Record.American Psychological Association2019201920182019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersion25 p.application/pdfhttps://hdl.handle.net/2445/134418Articles 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)InglésVersió postprint del document publicat a: https://doi.org/10.1037/met0000133Psychological Methods, 2018, vol. 23, num. 3, p. 480-504https://doi.org/10.1037/met0000133(c) American Psychological Association, 2018info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1344182026-05-29T05:05:01Z
dc.title.none.fl_str_mv Analyzing data from single-case alternating treatments designs
title Analyzing data from single-case alternating treatments designs
spellingShingle Analyzing data from single-case alternating treatments designs
Manolov, Rumen
Psicologia
Anàlisi de regressió
Disseny d'experiments
Psychology
Regression analysis
Experimental design
title_short Analyzing data from single-case alternating treatments designs
title_full Analyzing data from single-case alternating treatments designs
title_fullStr Analyzing data from single-case alternating treatments designs
title_full_unstemmed Analyzing data from single-case alternating treatments designs
title_sort Analyzing data from single-case alternating treatments designs
dc.creator.none.fl_str_mv Manolov, Rumen
Onghena, Patrick
author Manolov, Rumen
author_facet Manolov, Rumen
Onghena, Patrick
author_role author
author2 Onghena, Patrick
author2_role author
dc.subject.none.fl_str_mv Psicologia
Anàlisi de regressió
Disseny d'experiments
Psychology
Regression analysis
Experimental design
topic Psicologia
Anàlisi de regressió
Disseny d'experiments
Psychology
Regression analysis
Experimental design
description Alternating treatments designs (ATDs) have received comparatively less attention than other single-case experimental designs in terms of data analysis, as most analytical proposals and illustrations have been made in the context of designs including phases with several consecutive measurements in the same condition. One of the specific features of ATDs is the rapid (and usually randomly determined) alternation of conditions, which requires adapting the analytical techniques. First, we review the methodologically desirable features of ATDs, as well as the characteristics of the published single-case research using an ATD, which are relevant for data analysis. Second, we review several existing options for ATD data analysis. Third, we propose 2 new procedures, suggested as alternatives improving some of the limitations of extant analytical techniques. Fourth, we illustrate the application of existing techniques and the new proposals in order to discuss their differences and similarities. We advocate for the use of the new proposals in ATDs, because they entail meaningful comparisons between the conditions without assumptions about the design or the data pattern. We provide R code for all computations and for the graphical representation of the comparisons involved. (PsycINFO Database Record.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019
2019
2019
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/2445/134418
url https://hdl.handle.net/2445/134418
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/10.1037/met0000133
Psychological Methods, 2018, vol. 23, num. 3, p. 480-504
https://doi.org/10.1037/met0000133
dc.rights.none.fl_str_mv (c) American Psychological Association, 2018
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) American Psychological Association, 2018
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 25 p.
application/pdf
dc.publisher.none.fl_str_mv American Psychological Association
publisher.none.fl_str_mv American Psychological Association
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
repository.name.fl_str_mv
repository.mail.fl_str_mv
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