Regression-based techniques for statistical decision making in single-case designs

The present study evaluates the performance of four methods for estimating regression coefficients used to make statistical decisions regarding intervention effectiveness in single-case designs. Ordinary least squares estimation is compared to two correction techniques dealing with general trend and...

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Authors: Manolov, Rumen, Arnau Gras, Jaume, Solanas Pérez, Antonio, Bono Cabré, Roser
Format: article
Status:Published version
Publication Date:2010
Country:España
Institution:Universidad de Barcelona
Repository:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/32271
Online Access:https://hdl.handle.net/2445/32271
Access Level:Open access
Keyword:Investigació de cas únic
Correlació (Estadística)
Estadística
Single subject research
Correlation (Statistics)
Statistics
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spelling Regression-based techniques for statistical decision making in single-case designsManolov, RumenArnau Gras, JaumeSolanas Pérez, AntonioBono Cabré, RoserInvestigació de cas únicCorrelació (Estadística)EstadísticaSingle subject researchCorrelation (Statistics)StatisticsThe present study evaluates the performance of four methods for estimating regression coefficients used to make statistical decisions regarding intervention effectiveness in single-case designs. Ordinary least squares estimation is compared to two correction techniques dealing with general trend and one eliminating autocorrelation whenever it is present. Type I error rates and statistical power are studied for experimental conditions defined by the presence or absence of treatment effect (change in level or in slope), general trend, and serial dependence. The results show that empirical Type I error rates do not approximate the nominal ones in presence of autocorrelation or general trend when ordinary and generalized least squares are applied. The techniques controlling trend show lower false alarm rates, but prove to be insufficiently sensitive to existing treatment effects. Consequently, the use of the statistical significance of the regression coefficients for detecting treatment effects is not recommended for short data series.Facultad de Psicología de la Universidad de Oviedo y el Colegio Oficial de Psicólogos del Principado de Asturias2010info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/32271Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: http://www.psicothema.com/Psicothema, 2010, vol. 22, num. 4, p. 1026-1032(c) Psicothema, 2010info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/322712026-05-27T06:46:51Z
dc.title.none.fl_str_mv Regression-based techniques for statistical decision making in single-case designs
title Regression-based techniques for statistical decision making in single-case designs
spellingShingle Regression-based techniques for statistical decision making in single-case designs
Manolov, Rumen
Investigació de cas únic
Correlació (Estadística)
Estadística
Single subject research
Correlation (Statistics)
Statistics
title_short Regression-based techniques for statistical decision making in single-case designs
title_full Regression-based techniques for statistical decision making in single-case designs
title_fullStr Regression-based techniques for statistical decision making in single-case designs
title_full_unstemmed Regression-based techniques for statistical decision making in single-case designs
title_sort Regression-based techniques for statistical decision making in single-case designs
dc.creator.none.fl_str_mv Manolov, Rumen
Arnau Gras, Jaume
Solanas Pérez, Antonio
Bono Cabré, Roser
author Manolov, Rumen
author_facet Manolov, Rumen
Arnau Gras, Jaume
Solanas Pérez, Antonio
Bono Cabré, Roser
author_role author
author2 Arnau Gras, Jaume
Solanas Pérez, Antonio
Bono Cabré, Roser
author2_role author
author
author
dc.subject.none.fl_str_mv Investigació de cas únic
Correlació (Estadística)
Estadística
Single subject research
Correlation (Statistics)
Statistics
topic Investigació de cas únic
Correlació (Estadística)
Estadística
Single subject research
Correlation (Statistics)
Statistics
description The present study evaluates the performance of four methods for estimating regression coefficients used to make statistical decisions regarding intervention effectiveness in single-case designs. Ordinary least squares estimation is compared to two correction techniques dealing with general trend and one eliminating autocorrelation whenever it is present. Type I error rates and statistical power are studied for experimental conditions defined by the presence or absence of treatment effect (change in level or in slope), general trend, and serial dependence. The results show that empirical Type I error rates do not approximate the nominal ones in presence of autocorrelation or general trend when ordinary and generalized least squares are applied. The techniques controlling trend show lower false alarm rates, but prove to be insufficiently sensitive to existing treatment effects. Consequently, the use of the statistical significance of the regression coefficients for detecting treatment effects is not recommended for short data series.
publishDate 2010
dc.date.none.fl_str_mv 2010
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/32271
url https://hdl.handle.net/2445/32271
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: http://www.psicothema.com/
Psicothema, 2010, vol. 22, num. 4, p. 1026-1032
dc.rights.none.fl_str_mv (c) Psicothema, 2010
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Psicothema, 2010
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Facultad de Psicología de la Universidad de Oviedo y el Colegio Oficial de Psicólogos del Principado de Asturias
publisher.none.fl_str_mv Facultad de Psicología de la Universidad de Oviedo y el Colegio Oficial de Psicólogos del Principado de Asturias
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 15,300719

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