Three strategies for the critical use of statistical methods in psychological research

Autores
Campitelli, Guillermo Jorge; Macbeth, Guillermo Eduardo; Ospina, Raydonal; Marmolejo Ramos, Fernando
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies have been proposed earlier, so we do not claim originality. Here we propose to combine the three strategies and use them not only as analytical and reporting tools but also to guide the design of research. The first strategy involves a visual representation of the cognitive processes involved in solving the task at hand in the form of a theory or model together with a representation of a pattern of predictions for each condition. The second approach is the GAMLSS approach, which consists of providing a visual representation of distributions to fit the data, and choosing the best distribution that fits the raw data for further analyses. The third strategy is the model comparison approach, which compares the model of the researcher with alternative models. We present a worked example in the field of reasoning, in which we follow the three strategies.
Fil: Campitelli, Guillermo Jorge. Edith Cowan University; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Macbeth, Guillermo Eduardo. Universidad Nacional de Entre Ríos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ospina, Raydonal. Universidade Federal de Pernambuco; Brasil
Fil: Marmolejo Ramos, Fernando. Stockholms Universitet; Suecia
Materia
Statistics
Analysis
Visualization
Multilevel
Significance
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/46522
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Three strategies for the critical use of statistical methods in psychological researchCampitelli, Guillermo JorgeMacbeth, Guillermo EduardoOspina, RaydonalMarmolejo Ramos, FernandoStatisticsAnalysisVisualizationMultilevelSignificancehttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1https://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies have been proposed earlier, so we do not claim originality. Here we propose to combine the three strategies and use them not only as analytical and reporting tools but also to guide the design of research. The first strategy involves a visual representation of the cognitive processes involved in solving the task at hand in the form of a theory or model together with a representation of a pattern of predictions for each condition. The second approach is the GAMLSS approach, which consists of providing a visual representation of distributions to fit the data, and choosing the best distribution that fits the raw data for further analyses. The third strategy is the model comparison approach, which compares the model of the researcher with alternative models. We present a worked example in the field of reasoning, in which we follow the three strategies.Fil: Campitelli, Guillermo Jorge. Edith Cowan University; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Macbeth, Guillermo Eduardo. Universidad Nacional de Entre Ríos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ospina, Raydonal. Universidade Federal de Pernambuco; BrasilFil: Marmolejo Ramos, Fernando. Stockholms Universitet; SueciaSAGE Publications2016-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/46522Campitelli, Guillermo Jorge; Macbeth, Guillermo Eduardo; Ospina, Raydonal; Marmolejo Ramos, Fernando; Three strategies for the critical use of statistical methods in psychological research; SAGE Publications; Educational And Psychological Measurement; 77; 5; 7-2016; 1-150013-1644CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1177/0013164416668234info:eu-repo/semantics/altIdentifier/url/http://journals.sagepub.com/doi/10.1177/0013164416668234info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:38Zoai:ri.conicet.gov.ar:11336/46522instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:52:39.283CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Three strategies for the critical use of statistical methods in psychological research
title Three strategies for the critical use of statistical methods in psychological research
spellingShingle Three strategies for the critical use of statistical methods in psychological research
Campitelli, Guillermo Jorge
Statistics
Analysis
Visualization
Multilevel
Significance
title_short Three strategies for the critical use of statistical methods in psychological research
title_full Three strategies for the critical use of statistical methods in psychological research
title_fullStr Three strategies for the critical use of statistical methods in psychological research
title_full_unstemmed Three strategies for the critical use of statistical methods in psychological research
title_sort Three strategies for the critical use of statistical methods in psychological research
dc.creator.none.fl_str_mv Campitelli, Guillermo Jorge
Macbeth, Guillermo Eduardo
Ospina, Raydonal
Marmolejo Ramos, Fernando
author Campitelli, Guillermo Jorge
author_facet Campitelli, Guillermo Jorge
Macbeth, Guillermo Eduardo
Ospina, Raydonal
Marmolejo Ramos, Fernando
author_role author
author2 Macbeth, Guillermo Eduardo
Ospina, Raydonal
Marmolejo Ramos, Fernando
author2_role author
author
author
dc.subject.none.fl_str_mv Statistics
Analysis
Visualization
Multilevel
Significance
topic Statistics
Analysis
Visualization
Multilevel
Significance
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies have been proposed earlier, so we do not claim originality. Here we propose to combine the three strategies and use them not only as analytical and reporting tools but also to guide the design of research. The first strategy involves a visual representation of the cognitive processes involved in solving the task at hand in the form of a theory or model together with a representation of a pattern of predictions for each condition. The second approach is the GAMLSS approach, which consists of providing a visual representation of distributions to fit the data, and choosing the best distribution that fits the raw data for further analyses. The third strategy is the model comparison approach, which compares the model of the researcher with alternative models. We present a worked example in the field of reasoning, in which we follow the three strategies.
Fil: Campitelli, Guillermo Jorge. Edith Cowan University; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Macbeth, Guillermo Eduardo. Universidad Nacional de Entre Ríos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ospina, Raydonal. Universidade Federal de Pernambuco; Brasil
Fil: Marmolejo Ramos, Fernando. Stockholms Universitet; Suecia
description We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies have been proposed earlier, so we do not claim originality. Here we propose to combine the three strategies and use them not only as analytical and reporting tools but also to guide the design of research. The first strategy involves a visual representation of the cognitive processes involved in solving the task at hand in the form of a theory or model together with a representation of a pattern of predictions for each condition. The second approach is the GAMLSS approach, which consists of providing a visual representation of distributions to fit the data, and choosing the best distribution that fits the raw data for further analyses. The third strategy is the model comparison approach, which compares the model of the researcher with alternative models. We present a worked example in the field of reasoning, in which we follow the three strategies.
publishDate 2016
dc.date.none.fl_str_mv 2016-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/46522
Campitelli, Guillermo Jorge; Macbeth, Guillermo Eduardo; Ospina, Raydonal; Marmolejo Ramos, Fernando; Three strategies for the critical use of statistical methods in psychological research; SAGE Publications; Educational And Psychological Measurement; 77; 5; 7-2016; 1-15
0013-1644
CONICET Digital
CONICET
url http://hdl.handle.net/11336/46522
identifier_str_mv Campitelli, Guillermo Jorge; Macbeth, Guillermo Eduardo; Ospina, Raydonal; Marmolejo Ramos, Fernando; Three strategies for the critical use of statistical methods in psychological research; SAGE Publications; Educational And Psychological Measurement; 77; 5; 7-2016; 1-15
0013-1644
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1177/0013164416668234
info:eu-repo/semantics/altIdentifier/url/http://journals.sagepub.com/doi/10.1177/0013164416668234
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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