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020 _a9783030805197
_9978-3-030-80519-7
024 7 _a10.1007/978-3-030-80519-7
_2doi
050 4 _aHF5410-5417.5
072 7 _aKJS
_2bicssc
072 7 _aBUS043000
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082 0 4 _a658.8
_223
100 1 _aHair Jr., Joseph F.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aPartial Least Squares Structural Equation Modeling (PLS-SEM) Using R
_h[electronic resource] :
_bA Workbook /
_cby Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXIV, 197 p. 77 illus., 51 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aClassroom Companion: Business,
_x2662-2874
505 0 _aAn Introduction to Structural Equation Modeling -- Introduction to R and RStudio -- Introduction to SEMinR -- Evaluation of Reflective Measurement Models -- Evaluation of Formative Measurement Models -- Evaluation of the Structural Model -- Mediation Analysis -- Moderation Analysis.
506 0 _aOpen Access
520 _aPartial 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 thumbin every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
650 0 _aMarketing.
650 0 _aStatistics
_xComputer programs.
650 0 _aEconometrics.
650 1 4 _aMarketing.
650 2 4 _aStatistical Software.
650 2 4 _aEconometrics.
700 1 _aHult, G. Tomas M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aRingle, Christian M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aSarstedt, Marko.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aDanks, Nicholas P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aRay, Soumya.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030805180
776 0 8 _iPrinted edition:
_z9783030805203
830 0 _aClassroom Companion: Business,
_x2662-2874
856 4 0 _uhttps://doi.org/10.1007/978-3-030-80519-7
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
912 _aZDB-2-SOB
999 _c37310
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