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dc.contributor.authorHair Jr., Joseph F.
dc.contributor.authorHult, G. Tomas M.
dc.contributor.authorRingle, Christian M.
dc.contributor.authorSarstedt, Marko
dc.contributor.authorDanks, Nicholas P.
dc.contributor.authorRay, Soumya
dc.date.accessioned2021-11-15T15:27:39Z
dc.date.available2021-11-15T15:27:39Z
dc.date.issued2021
dc.identifierONIX_20211115_9783030805197_9
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/51463
dc.description.abstractPartial 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. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
dc.languageEnglish
dc.relation.ispartofseriesClassroom Companion: Business
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketingen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical softwareen_US
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statisticsen_US
dc.subject.otherOpen Access
dc.subject.otherPLS-SEM) Using R
dc.subject.otherWorkbook
dc.subject.otherPartial Least Squares Structural Equation Modeling
dc.subject.otherR Software Environment
dc.titlePartial Least Squares Structural Equation Modeling (PLS-SEM) Using R
dc.title.alternativeA Workbook
dc.typebook
oapen.identifier.doi10.1007/978-3-030-80519-7
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy0ba1b5cf-bbfb-48f0-8246-0acef2894f7e
oapen.relation.isbn9783030805197
oapen.imprintSpringer International Publishing
oapen.pages197
oapen.grant.number[grantnumber unknown]


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