There has been considerable attention to making the methodologies
of structural equation modeling available to researchers,
practitioners, and students along with commonly used software.
Structural Equation Modelling Using R/SAS aims to bring it all
together to provide a concise point-of-reference for the most
commonly used structural equation modeling from the fundamental
level to the advanced level. This book is intended to contribute to
the rapid development in structural equation modeling and its
applications to real-world data. Straightforward explanations of
the statistical theory and models related to structural equation
models are provided, using a compilation of a variety of publicly
available data, to provide an illustration of data analytics in a
step-by-step fashion using commonly used statistical software of R
and SAS. This book is appropriate for anyone who is interested in
learning and practicing structural equation modeling, especially in
using R and SAS. It is useful for applied statisticians, data
scientists and practitioners, applied statistical analysts and
scientists in public health, and academic researchers and graduate
students in statistics, whilst also being of use to R&D
professionals/practitioners in industry and governmental agencies.
Key Features: Extensive compilation of commonly used structural
equation models and methods from fundamental to advanced levels
Straightforward explanations of the theory related to the
structural equation models Compilation of a variety of publicly
available data Step-by-step illustrations of data analysis using
commonly used statistical software R and SAS Data and computer
programs are available for readers to replicate and implement the
new methods to better understand the book contents and for future
applications Handbook for applied statisticians and practitioners
General
Imprint: |
Taylor & Francis
|
Country of origin: |
United Kingdom |
Release date: |
August 2023 |
First published: |
2024 |
Authors: |
Ding-Geng Chen
• Yiu-Fai Yung
|
Dimensions: |
234 x 156mm (L x W) |
Pages: |
408 |
ISBN-13: |
978-1-03-243123-9 |
Categories: |
Books
|
LSN: |
1-03-243123-7 |
Barcode: |
9781032431239 |
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