Elektronik/Digital

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook

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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 solutions and document their results. Rules ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

001.4 Par

Penerbit

Cham : Springer Nature., 2021

Deskripsi Fisik

1305 hlm.

Bahasa

Inggris

ISBN/ISSN

978-3-030-80519-7

Klasifikasi

001.4

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Data Analysis
Structural Equation Modeling (SEM)

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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