000 | 03798nam a22006015i 4500 | ||
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001 | 978-3-030-80519-7 | ||
003 | DE-He213 | ||
005 | 20240507152730.0 | ||
007 | cr nn 008mamaa | ||
008 | 211103s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030805197 _9978-3-030-80519-7 |
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024 | 7 |
_a10.1007/978-3-030-80519-7 _2doi |
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050 | 4 | _aHF5410-5417.5 | |
072 | 7 |
_aKJS _2bicssc |
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072 | 7 |
_aBUS043000 _2bisacsh |
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072 | 7 |
_aKJS _2thema |
|
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. |
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300 |
_aXIV, 197 p. 77 illus., 51 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. |
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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 _d37310 |