Confirmatory composite analysis in human development research
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/143639 |
Resumo: | Schamberger, T., Schuberth, F., & Henseler, J. (2023). Confirmatory composite analysis in human development research. International Journal of Behavioral Development, 47(1), 89-100. https://doi.org/10.1177/01650254221117506 ----------- The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: J.H. gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), and national funding through research grant Information Management Research Center—MagIC/NOVA IMS (UIDB/04152/2020). |
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Confirmatory composite analysis in human development researchcomposite modelcompositesConfirmatory composite analysisindicesModel fit assessmentSocial PsychologyEducationDevelopmental and Educational PsychologySocial Sciences (miscellaneous)Developmental NeuroscienceLife-span and Life-course StudiesSchamberger, T., Schuberth, F., & Henseler, J. (2023). Confirmatory composite analysis in human development research. International Journal of Behavioral Development, 47(1), 89-100. https://doi.org/10.1177/01650254221117506 ----------- The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: J.H. gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), and national funding through research grant Information Management Research Center—MagIC/NOVA IMS (UIDB/04152/2020).Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that known from CFA. As a remedy, this article presents confirmatory composite analysis (CCA), a statistical approach suitable to assess composites. CCA is a special type of structural equation modeling that consists of model specification, model identification, model estimation, and model assessment. This article explains CCA and its steps. In addition, it illustrates CCA’s use by means of an illustrative example.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNSchamberger, TamaraSchuberth, FlorianHenseler, Jörg2022-09-09T22:50:39Z2023-01-012023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/143639eng0165-0254PURE: 46447463https://doi.org/10.1177/01650254221117506info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:22:15Zoai:run.unl.pt:10362/143639Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:51:03.956021Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Confirmatory composite analysis in human development research |
title |
Confirmatory composite analysis in human development research |
spellingShingle |
Confirmatory composite analysis in human development research Schamberger, Tamara composite model composites Confirmatory composite analysis indices Model fit assessment Social Psychology Education Developmental and Educational Psychology Social Sciences (miscellaneous) Developmental Neuroscience Life-span and Life-course Studies |
title_short |
Confirmatory composite analysis in human development research |
title_full |
Confirmatory composite analysis in human development research |
title_fullStr |
Confirmatory composite analysis in human development research |
title_full_unstemmed |
Confirmatory composite analysis in human development research |
title_sort |
Confirmatory composite analysis in human development research |
author |
Schamberger, Tamara |
author_facet |
Schamberger, Tamara Schuberth, Florian Henseler, Jörg |
author_role |
author |
author2 |
Schuberth, Florian Henseler, Jörg |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) RUN |
dc.contributor.author.fl_str_mv |
Schamberger, Tamara Schuberth, Florian Henseler, Jörg |
dc.subject.por.fl_str_mv |
composite model composites Confirmatory composite analysis indices Model fit assessment Social Psychology Education Developmental and Educational Psychology Social Sciences (miscellaneous) Developmental Neuroscience Life-span and Life-course Studies |
topic |
composite model composites Confirmatory composite analysis indices Model fit assessment Social Psychology Education Developmental and Educational Psychology Social Sciences (miscellaneous) Developmental Neuroscience Life-span and Life-course Studies |
description |
Schamberger, T., Schuberth, F., & Henseler, J. (2023). Confirmatory composite analysis in human development research. International Journal of Behavioral Development, 47(1), 89-100. https://doi.org/10.1177/01650254221117506 ----------- The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: J.H. gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), and national funding through research grant Information Management Research Center—MagIC/NOVA IMS (UIDB/04152/2020). |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-09T22:50:39Z 2023-01-01 2023-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/143639 |
url |
http://hdl.handle.net/10362/143639 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0165-0254 PURE: 46447463 https://doi.org/10.1177/01650254221117506 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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12 application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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