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Record Nr. |
UNINA9910508504903321 |
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Autore |
Hair Joseph F., Jr., <1944-> |
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Titolo |
Partial least squares structural equation modeling (PLS-SEM) using R : a workbook / / Joseph F. Hair [et al.] |
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Pubbl/distr/stampa |
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Cham, : Springer International Publishing AG, 2021 |
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Descrizione fisica |
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1 online resource (xiv, 197 pages) : illustrations (some color) |
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Collana |
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Classroom companion. Business |
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Altri autori (Persone) |
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HultG. Tomas M |
RingleChristian M |
SarstedtMarko |
DanksNicholas P |
RaySoumya |
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Soggetti |
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Finance - Mathematical models |
Least squares |
R (Computer program language) |
Structural equation modeling |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Sommario/riassunto |
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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 |
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