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Why should PLS-SEM be used rather than regression? evidence from the capital structure perspective

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dc.citedby6
dc.contributor.affiliationsFaculty of Economics and Muamalat
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsSTIE Bank BPD Jateng
dc.contributor.affiliationsPetra Christian University
dc.contributor.affiliationsUniversity of Canterbury
dc.contributor.authorRamli N.A.en_US
dc.contributor.authorLatan H.en_US
dc.contributor.authorNartea G.V.en_US
dc.date.accessioned2024-05-28T08:36:28Z
dc.date.available2024-05-28T08:36:28Z
dc.date.issued2018
dc.description.abstractThis study examines capital structure determinants using a simultaneous causal model with interaction effects between manifest and latent variables. Partial Least Squares (PLS) is an approach to Structural Equation Models (SEM) that allows researchers to analyse the relationships simultaneously. It is interesting to compare and contrast this approach in analysing mediation relationships with the regression analysis. In addition to statistical data, logical arguments are presented supported by two case studies from PLS-SEM and regression models. We find that the choice between regression and PLS-SEM matters even with the simplest scenarios per item for constructs. This study�s originality is the provision of new comparative analyses of PLS-SEM versus regression analysis in the context of capital structure determinants. The �indirect� and �mediate� macro syntax normal theory of the Sobel test, and the bootstrapping techniques are compared with PLS-SEM. We find that the PLS-SEM analysis provides less contradictory results than regression analysis in terms of detecting mediation effects. � Springer International Publishing AG 2018.
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-319-71691-6_6
dc.identifier.epage209
dc.identifier.issn8848289
dc.identifier.scopus2-s2.0-85042401562
dc.identifier.spage171
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85042401562&doi=10.1007%2f978-3-319-71691-6_6&partnerID=40&md5=3227a815ef155ca83d53d9b12506bca7
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9156
dc.identifier.volume267
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherSpringer New York LLCen_US
dc.relation.ispartofInternational Series in Operations Research and Management Science
dc.sourceScopus
dc.subjectCapital Structureen_US
dc.subjectFirm Performanceen_US
dc.subjectPLS-SEMen_US
dc.titleWhy should PLS-SEM be used rather than regression? evidence from the capital structure perspectiveen_US
dc.title.alternativeInt. Ser. Oper. Res.Manag. Sci.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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