Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R A Workbook

dc.contributor.author	Joseph F. Hair Jr.
dc.contributor.author	G. Tomas M. Hult
dc.contributor.author	Christian M. Ringle
dc.contributor.author	Marko Sarstedt
dc.date.accessioned	2026-03-09T20:26:41Z
dc.date.available	2026-03-09T20:26:41Z
dc.date.issued	2021
dc.description	Libro electrónico
dc.description.abstract	Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification.
dc.identifier.isbn	978-3-319-69623-982
dc.identifier.other	https://doi.org/10.1007/978-3-030-80519-7
dc.identifier.uri	https://link.springer.com/openurl?genre=book&isbn=978-3-030-80519-7
dc.identifier.uri	http://bibliovirtual.umar.mx:4000/handle/123456789/1933
dc.language.iso	en_US
dc.publisher	Springer International Publishing
dc.title	Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R A Workbook
dc.type	Book
eperson.firstname	nombre
person.jobTitle	trabajo

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