A flexible way to study composites in ecology using structural equation modeling

Bibliographic Details
Main Author: Yu, Xi
Publication Date: 2025
Other Authors: Schuberth, Florian, Henseler, Jörg
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/179204
Summary: Yu, X., Schuberth, F., & Henseler, J. (2025). A flexible way to study composites in ecology using structural equation modeling. Scientific Reports, 15, 1-16. Article 4597. https://doi.org/10.1038/s41598-025-88675-0 --- The authors thank Alexandra Elbakyan for her efforts to make science accessible. Jörg Henseler: 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).
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spelling A flexible way to study composites in ecology using structural equation modelingPlant ecologyAnimal ecologyHenseler–Ogasawara specificationCollective effectsEmergent variableGeneralSDG 15 - Life on LandYu, X., Schuberth, F., & Henseler, J. (2025). A flexible way to study composites in ecology using structural equation modeling. Scientific Reports, 15, 1-16. Article 4597. https://doi.org/10.1038/s41598-025-88675-0 --- The authors thank Alexandra Elbakyan for her efforts to make science accessible. Jörg Henseler: 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).Composites, which refer to weighted linear combinations of variables, are receiving increasing attention in the field of ecology. In practice, however, researchers relying on the common approaches to study composites encounter limitations in flexibly specifying composites with structural equation modeling (SEM). To enrich the researchers’ statistical toolbox and to flexibly model composites in structural equation models, we introduce the Henseler–Ogasawara (H–O) specification to the field of ecology. As we show in this paper, this approach can not only mimic the common approaches such as the one-step and two-step approaches, but also offers improvements. Compared to the two-step approach, the H–O specification explicitly models composites, i.e., it takes into account the formation of the composites and it allows modeling composites with free weights and with fixed weights, i.e., unknown-weight and fixed weight composites. Consequently, this specification allows for a more in-depth model assessment. Compared to the one-step approach, the H–O specification offers more modeling flexibility. For example, it allows researchers to specify the effects of other variables on a composite. Consequently, conceptual models can be more adequately represented by the statistical model using this specification. To demonstrate these advantages, we provide an ecological illustrative example including the R code to reproduce our results. Specifically, we present different H–O specifications and compare them statistically. Our analysis also shows that the specified model, closest to the conceptual model of the illustrative example does not adequately describe the data. Instead, a model that does not assume that all covariances between the components of the composites are accounted for by the composites fits the data well.Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNYu, XiSchuberth, FlorianHenseler, Jörg2025-02-17T21:16:22Z2025-02-072025-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://hdl.handle.net/10362/179204eng2045-2322PURE: 110651153https://doi.org/10.1038/s41598-025-88675-0info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-03T01:38:00Zoai:run.unl.pt:10362/179204Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:39:47.269579Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A flexible way to study composites in ecology using structural equation modeling
title A flexible way to study composites in ecology using structural equation modeling
spellingShingle A flexible way to study composites in ecology using structural equation modeling
Yu, Xi
Plant ecology
Animal ecology
Henseler–Ogasawara specification
Collective effects
Emergent variable
General
SDG 15 - Life on Land
title_short A flexible way to study composites in ecology using structural equation modeling
title_full A flexible way to study composites in ecology using structural equation modeling
title_fullStr A flexible way to study composites in ecology using structural equation modeling
title_full_unstemmed A flexible way to study composites in ecology using structural equation modeling
title_sort A flexible way to study composites in ecology using structural equation modeling
author Yu, Xi
author_facet Yu, Xi
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 Yu, Xi
Schuberth, Florian
Henseler, Jörg
dc.subject.por.fl_str_mv Plant ecology
Animal ecology
Henseler–Ogasawara specification
Collective effects
Emergent variable
General
SDG 15 - Life on Land
topic Plant ecology
Animal ecology
Henseler–Ogasawara specification
Collective effects
Emergent variable
General
SDG 15 - Life on Land
description Yu, X., Schuberth, F., & Henseler, J. (2025). A flexible way to study composites in ecology using structural equation modeling. Scientific Reports, 15, 1-16. Article 4597. https://doi.org/10.1038/s41598-025-88675-0 --- The authors thank Alexandra Elbakyan for her efforts to make science accessible. Jörg Henseler: 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).
publishDate 2025
dc.date.none.fl_str_mv 2025-02-17T21:16:22Z
2025-02-07
2025-02-07T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/179204
url http://hdl.handle.net/10362/179204
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2045-2322
PURE: 110651153
https://doi.org/10.1038/s41598-025-88675-0
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 16
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dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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