Partial least squares structural equation modeling (PLS-SEM) using R : : a workbook / / Joseph F. Hair [et al.]
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�...
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| Superior document: | Classroom companion. |
|---|---|
| : | |
| TeilnehmendeR: | |
| Year of Publication: | 2021 |
| Language: | English |
| Series: | Classroom companion. Business
|
| Physical Description: | 1 online resource (xiv, 197 pages) :; illustrations (some color) |
| Notes: | Description based upon print version of record. |
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| 245 | 1 | 0 | |a Partial least squares structural equation modeling (PLS-SEM) using R : |b a workbook / |c Joseph F. Hair [et al.] |
| 260 | |a Cham : |b Springer International Publishing AG, |c 2021. | ||
| 300 | |a 1 online resource (xiv, 197 pages) : |b illustrations (some color) | ||
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| 500 | |a Description based upon print version of record. | ||
| 520 | |a 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. 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 | ||
| 546 | |a English | ||
| 536 | |a Otto von Guericke University Magdeburg | ||
| 650 | 0 | |a Finance |x Mathematical models. | |
| 650 | 0 | |a Least squares. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Structural equation modeling. | |
| 653 | |a Open Access | ||
| 653 | |a PLS-SEM) Using R | ||
| 653 | |a Workbook | ||
| 653 | |a Partial Least Squares Structural Equation Modeling | ||
| 653 | |a R Software Environment | ||
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| 700 | 1 | |a Hult, G. Tomas M. | |
| 700 | 1 | |a Ringle, Christian M. | |
| 700 | 1 | |a Sarstedt, Marko. | |
| 700 | 1 | |a Danks, Nicholas P. | |
| 700 | 1 | |a Ray, Soumya. | |
| 830 | 0 | |a Classroom companion. |p Business | |
| 906 | |a BOOK | ||
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