Partial least squares structural equation modeling (PLS-SEM) using R : a workbook / / Joseph F. Hair [et al.]

• Autore: Hair Joseph F., Jr., <1944->
• Pubblicazione: Cham, : Springer International Publishing AG, 2021
• Descrizione fisica: 1 online resource (xiv, 197 pages) : illustrations (some color)
• Soggetto topico: Finance - Mathematical models; Least squares; R (Computer program language); Structural equation modeling
• Soggetto non controllato: Open Access; PLS-SEM) Using R; Workbook; Partial Least Squares Structural Equation Modeling; R Software Environment
• Altri autori: HultG. Tomas M RingleChristian M SarstedtMarko DanksNicholas P RaySoumya
• Note generali: Description based upon print version of record.
• Sommario/riassunto: 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
• Titolo autorizzato: Partial least squares structural equation modeling (PLS-SEM) using R
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910508504903321
• Lo trovi qui: Univ. Federico II
• Serie: Classroom companion. . -Business