| 书目名称 | Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R |
| 副标题 | A Workbook |
| 编辑 | Joseph F. Hair Jr.,G. Tomas M. Hult,Soumya Ray |
| 视频video | http://file.papertrans.cn/742/741552/741552.mp4 |
| 概述 | This book is open access, which means that you have free and unlimited access.Offers concise guidelines on how to apply and interpret PLS-SEM results.Includes an llustrative step-by-step application o |
| 丛书名称 | Classroom Companion: Business |
| 图书封面 |  |
| 描述 | .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 ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.. |
| 出版日期 | Textbook‘‘‘‘‘‘‘‘ 2021 |
| 关键词 | Open Access; PLS-SEM) Using R; Workbook; Partial Least Squares Structural Equation Modeling; R Software |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-80519-7 |
| isbn_ebook | 978-3-030-80519-7Series ISSN 2662-2866 Series E-ISSN 2662-2874 |
| issn_series | 2662-2866 |
| copyright | The Editor(s) (if applicable) and The Author(s) 2021 |
|Archiver|手机版|小黑屋|
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