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

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

近年來，對於結構方程模型的方法學已經引起了相當大的關注，並且提供了常用軟體給研究人員、實踐者和學生使用。《使用R/SAS進行結構方程模型》旨在將這些資訊整合在一起，為從基礎到高級的結構方程模型提供一個簡潔的參考點。本書旨在促進結構方程模型及其在實際數據應用中的快速發展。書中提供了有關結構方程模型的統計理論和模型的直觀解釋，並使用多種公開可用的數據來逐步演示使用R和SAS等常用統計軟體進行數據分析的過程。本書適合任何有興趣學習和實踐結構方程模型的人，特別是使用R和SAS的人。它對應用統計學家、數據科學家和實踐者、公共衛生領域的應用統計分析師和科學家，以及統計學領域的學術研究人員和研究生非常有用，同時也對工業和政府機構的研發專業人員和實踐者有所幫助。

主要特點：
- 包含從基礎到高級水平的常用結構方程模型和方法的廣泛彙編
- 對結構方程模型相關理論的直觀解釋
- 包含多種公開可用數據
- 逐步演示使用常用統計軟體R和SAS進行數據分析的過程
- 提供讀者複製和實施新方法以更好理解書中內容並進行未來應用的數據和電腦程式
- 適用於應用統計學家和實踐者的手冊

Ding-Geng Chen, Ph.D. Professor and Executive Director in Biostatistics College of Health Solutions Arizona State University, USA.

Yiu-Fai Yung, Ph.D. Senior Manager, Advanced Analytics R & D, SAS Institute Inc.

丁耿辰博士，亞利桑那州立大學健康解決方案學院生物統計學教授兼執行主任。

容耀輝博士，SAS Institute Inc.高級分析研發經理。