When and how to use confirmatory composite analysis (CCA) in second language research

Detalhes bibliográficos
Autor(a) principal: Alamer, Abdullah
Data de Publicação: 2024
Outros Autores: Schuberth, Florian, Henseler, Jörg
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/163243
Resumo: Alamer, A., Schuberth, F., & Henseler, J. (2024). When and how to use confirmatory composite analysis (CCA) in second language research. Studies in Second Language Acquisition, 1-20. Advance online publication. https://doi.org/10.1017/S0272263124000020 --- This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No. 5589]. Jörg Henseler acknowledges a financial interest in the composite-based SEM software ADANCO and its distributor, Composite Modeling. Moreover, he gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through a research grant from the Information Management Research Center– MagIC/NOVA IMS (UIDB/04152/2020). Moreover, we thank Daniel Ondé and colleagues for giving us permission to use their dataset in our illustrative example. We also thank Alexandra Elbakyan for her efforts in making science accessible.
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spelling When and how to use confirmatory composite analysis (CCA) in second language researchEducationLanguage and LinguisticsLinguistics and LanguageAlamer, A., Schuberth, F., & Henseler, J. (2024). When and how to use confirmatory composite analysis (CCA) in second language research. Studies in Second Language Acquisition, 1-20. Advance online publication. https://doi.org/10.1017/S0272263124000020 --- This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No. 5589]. Jörg Henseler acknowledges a financial interest in the composite-based SEM software ADANCO and its distributor, Composite Modeling. Moreover, he gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through a research grant from the Information Management Research Center– MagIC/NOVA IMS (UIDB/04152/2020). Moreover, we thank Daniel Ondé and colleagues for giving us permission to use their dataset in our illustrative example. We also thank Alexandra Elbakyan for her efforts in making science accessible.Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements define and form the construct and not the other way around. These constructs are referred to as emergent variables (also called components, formative constructs, and composite constructs). Because emergent variables are composed of elements/parts, they should be assessed through confirmatory composite analysis (CCA). Elements of emergent variables represent unique facets of the construct. Thus, such constructs cannot be properly assessed by confirmatory factor analysis (CFA) because CFA and its underlying common factor model regard these elements to be similar and interchangeable. Conversely, the elements of an emergent variable uniquely define and form the construct, i.e., they are not similar or interchangeable. Thus, CCA is the preferred approach to empirically validate emergent variables such as language skills L2 students’ behavioral engagement and language learning strategies. CCA is based on the composite model, which captures the characteristics of emergent variables more accurately. Aside from the difference in the underlying model, CCA consists of the same steps as CFA, i.e., model specification, model identification, model estimation, and model assessment. In this paper, we explain these steps. and present an illustrative example using publicly available data. In doing so, we show how CCA can be conducted using graphical software packages such as Amos, and we provide the code necessary to conduct CCA in the R package lavaan.Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNAlamer, AbdullahSchuberth, FlorianHenseler, Jörg2024-02-08T00:18:14Z2024-02-062024-02-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/163243eng0272-2631PURE: 82856951https://doi.org/10.1017/S0272263124000020info: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:RCAAP2024-03-11T05:46:22Zoai:run.unl.pt:10362/163243Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:19.504537Repositório 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 When and how to use confirmatory composite analysis (CCA) in second language research
title When and how to use confirmatory composite analysis (CCA) in second language research
spellingShingle When and how to use confirmatory composite analysis (CCA) in second language research
Alamer, Abdullah
Education
Language and Linguistics
Linguistics and Language
title_short When and how to use confirmatory composite analysis (CCA) in second language research
title_full When and how to use confirmatory composite analysis (CCA) in second language research
title_fullStr When and how to use confirmatory composite analysis (CCA) in second language research
title_full_unstemmed When and how to use confirmatory composite analysis (CCA) in second language research
title_sort When and how to use confirmatory composite analysis (CCA) in second language research
author Alamer, Abdullah
author_facet Alamer, Abdullah
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
RUN
dc.contributor.author.fl_str_mv Alamer, Abdullah
Schuberth, Florian
Henseler, Jörg
dc.subject.por.fl_str_mv Education
Language and Linguistics
Linguistics and Language
topic Education
Language and Linguistics
Linguistics and Language
description Alamer, A., Schuberth, F., & Henseler, J. (2024). When and how to use confirmatory composite analysis (CCA) in second language research. Studies in Second Language Acquisition, 1-20. Advance online publication. https://doi.org/10.1017/S0272263124000020 --- This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No. 5589]. Jörg Henseler acknowledges a financial interest in the composite-based SEM software ADANCO and its distributor, Composite Modeling. Moreover, he gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through a research grant from the Information Management Research Center– MagIC/NOVA IMS (UIDB/04152/2020). Moreover, we thank Daniel Ondé and colleagues for giving us permission to use their dataset in our illustrative example. We also thank Alexandra Elbakyan for her efforts in making science accessible.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-08T00:18:14Z
2024-02-06
2024-02-06T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/163243
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dc.language.iso.fl_str_mv eng
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PURE: 82856951
https://doi.org/10.1017/S0272263124000020
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