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020 _a9783030805197
024 7 _a10.1007/978-3-030-80519-7
_2doi
040 _aES-VaU
_bspa
_cES-VaU
_dES-VaU
050 4 _aHF5410-5417.5
_b2021 EB
100 1 _aHair Jr., Joseph F.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 0 0 _aPartial Least Squares Structural Equation Modeling (PLS-SEM) Using R :
_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
_c2021
_bSpringer International Publishing
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _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 thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-80519-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Business_2021
999 _c239257
_d239257