dc.creator | Nitzl, Christian | es |
dc.creator | Roldán Salgueiro, José Luis | es |
dc.creator | Cepeda-Carrión, Gabriel | es |
dc.date.accessioned | 2018-03-21T12:43:07Z | |
dc.date.available | 2018-03-21T12:43:07Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Nitzl, C., Roldán Salgueiro, J.L. y Cepeda-Carrión, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management and Data Systems, 116 (9), 1849-1864. | |
dc.identifier.issn | 0263-5577 | es |
dc.identifier.uri | https://hdl.handle.net/11441/71185 | |
dc.description.abstract | Purpose
–
Indirect or mediated effects constitute a type of relationship between constructs that often
occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing
mediation have become more sophisticated. However, many researchers continue to use outdated
methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of
outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist
that draw on the newest statistical findings. The paper aims to discuss these issues.
Design/methodology/approach
–
This study illustrates the state-of-the-art use of mediation
analysis in the context of PLS-structural equation modeling (SEM).
Findings
–
This study facilitates the adoption of modern procedures in PLS-SEM by challenging the
conventional approach to mediation analysis and providing more accurate alternatives. In addition, the
authors propose a decision tree and classification of mediation effects.
Originality/value
–
The recommended approach offers a wide range of testing options (e.g. multiple
mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their
studies in a more accurate way. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Emerald | es |
dc.relation.ispartof | Industrial Management and Data Systems, 116 (9), 1849-1864. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Structural equation modelling | es |
dc.subject | Partial least squares | es |
dc.subject | Bootstrapping | es |
dc.subject | Indirect effects | es |
dc.subject | Mediation analysis | es |
dc.subject | Multiple mediation | es |
dc.title | Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.relation.publisherversion | https://doi.org/10.1108/IMDS-07-2015-0302 | es |
dc.identifier.doi | 10.1108/IMDS-07-2015-0302 | es |
idus.format.extent | 16 | es |
dc.journaltitle | Industrial Management and Data Systems | es |
dc.publication.volumen | 116 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | 1849 | es |
dc.publication.endPage | 1864 | es |
dc.identifier.sisius | 4921 | es |