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Partial least squares structural equation modeling (PLS-SEM) using R a workbook / [electronic resource] :
- 其他作者：
- 其他題名：
- Classroom companion: business.
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Classroom companion: business,
- 主題： Least squares. , Structural equation modeling. , Finance--Mathematical models. , R (Computer program language) , Marketing. , Statistics and Computing/Statistics Programs. , Econometrics.
- ISBN： 9783030805197 (electronic bk.) 、 9783030805180 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: An 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.
- 摘要註: 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.
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讀者標籤：
- 系統號： 005550714 | 機讀編目格式
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