Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis

Structural Equation Modeling Using R/SAS provides a comprehensive guide to structural equation modeling, covering fundamental to advanced levels, with step-by-step illustrations using R and SAS. It is suitable for applied statisticians, data scientists, practitioners, analysts, researchers, and graduate students, and R&D professionals.

Format: Hardback
Length: 408 pages
Publication date: 21 August 2023
Publisher: Taylor & Francis Ltd

Structural equation modeling (SEM) has garnered significant attention in making its methodologies accessible to researchers, practitioners, and students, alongside commonly used software. Structural Equation Modeling Using R/SAS aims to consolidate these resources into a comprehensive point-of-reference for the most widely employed structural equation modeling techniques, spanning from fundamental to advanced levels. This book endeavors to contribute to the rapid advancements in structural equation modeling and its practical applications to real-world data. Clear explanations of the statistical theory and models associated with structural equation models are provided, utilizing a compilation of various publicly available data, to demonstrate data analytics in a step-by-step manner using commonly used statistical software, R, and SAS. This book is suitable for individuals interested in learning and practicing structural equation modeling, particularly in utilizing R and SAS. It serves as a valuable resource for applied statisticians, data scientists, practitioners, applied statistical analysts, scientists in public health, academic researchers, and graduate students in statistics. Additionally, it is valuable to R&D professionals/practitioners in industry and governmental agencies.

Key Features:

Extensive compilation of commonly used structural equation models and methods, ranging from fundamental to advanced levels

Straightforward explanations of the theory related to structural equation models

Compilation of a diverse range of publicly available data

Step-by-step illustrations of data analysis using widely adopted statistical software, R, and SAS

Data and computer programs are provided for readers to replicate and implement the new methods, enhancing their understanding and proficiency in structural equation modeling.

Weight: 768g
Dimension: 162 x 241 x 29 (mm)
ISBN-13: 9781032431239