Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
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...
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| Định dạng: | Online |
| Ngôn ngữ: | Tiếng Anh |
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Springer Nature
2021
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20211115_9783030805197_9 |
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| _version_ | 1869518782451417088 |
|---|---|
| author | Hair Jr., Joseph F. Hult, G. Tomas M. Ringle, Christian M. Sarstedt, Marko Danks, Nicholas P. Ray, Soumya |
| author_browse | Danks, Nicholas P. Hair Jr., Joseph F. Hult, G. Tomas M. Ray, Soumya Ringle, Christian M. Sarstedt, Marko |
| author_facet | Hair Jr., Joseph F. Hult, G. Tomas M. Ringle, Christian M. Sarstedt, Marko Danks, Nicholas P. Ray, Soumya |
| author_sort | Hair Jr., Joseph F. |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-72839 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-728392025-08-13T14:11:45Z Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R Hair Jr., Joseph F. Hult, G. Tomas M. Ringle, Christian M. Sarstedt, Marko Danks, Nicholas P. Ray, Soumya Open Access PLS-SEM) Using R Workbook Partial Least Squares Structural Equation Modeling R Software Environment thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics 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. 2021-11-16T06:32:08Z 2021-11-16T06:32:08Z 2021-11-15T15:27:39Z 2021 book ONIX_20211115_9783030805197_9 OCN: 1285074600 https://library.oapen.org/handle/20.500.12657/51463 9783030805197 https://directory.doabooks.org/handle/20.500.12854/72839 eng Classroom Companion: Business open access image/jpeg image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/51463/1/9783030805197.pdf https://library.oapen.org/bitstream/20.500.12657/51463/1/9783030805197.pdf https://library.oapen.org/bitstream/20.500.12657/51463/1/9783030805197.pdf Springer Nature Springer International Publishing 10.1007/978-3-030-80519-7 10.1007/978-3-030-80519-7 9fa3421d-f917-4153-b9ab-fc337c396b5a Otto von Guericke University Magdeburg 0ba1b5cf-bbfb-48f0-8246-0acef2894f7e 9783030805197 Springer International Publishing 197 [grantnumber unknown] open access |
| spellingShingle | Open Access PLS-SEM) Using R Workbook Partial Least Squares Structural Equation Modeling R Software Environment thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics Hair Jr., Joseph F. Hult, G. Tomas M. Ringle, Christian M. Sarstedt, Marko Danks, Nicholas P. Ray, Soumya Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R |
| title | Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R |
| title_full | Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R |
| title_fullStr | Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R |
| title_full_unstemmed | Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R |
| title_short | Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R |
| title_sort | partial least squares structural equation modeling pls sem using r |
| topic | Open Access PLS-SEM) Using R Workbook Partial Least Squares Structural Equation Modeling R Software Environment thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics |
| topic_facet | Open Access PLS-SEM) Using R Workbook Partial Least Squares Structural Equation Modeling R Software Environment thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics |
| url | ONIX_20211115_9783030805197_9 |
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