[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-39984-en":3,"doc-seo-39984-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},39984,7971461740909,"Levi","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Structural Equation Modeling Using R/SAS","Structural Equation Modeling Using R/SAS presents structural equation modeling methods for researchers, practitioners, and students, offering a concise reference from core concepts to advanced applications. The book explains statistical theory and structural equation models through step-by-step data analytics using common software in R and SAS. It consolidates widely used models and techniques, supports learning with compilations of publicly available datasets, and provides data plus computer programs so readers can replicate and implement methods for future work and real-world analysis. It targets applied statisticians, data scientists, public health analysts, researchers, and graduate students.","Structural Equation Modeling Using R/SAS  \nThere 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 Modeling 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, while also being of use to R&D professionals/practitioners in industry and governmental agencies.  \nKey features:  \n❼ Extensive compilation of commonly used structural equation models and methods from fundamental to advanced levels  \n❼ Straightforward explanations of the theory related to the structural equation models  \n❼ Compilation of a variety of publicly available data  \n❼ Step-by-step illustrations of data analysis using commonly used statistical software R and SAS  \n❼ 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  \n❼ Handbook for applied statisticians and practitioners  \nDing-Geng Chen, Ph.D. Professor and Executive Director in Biostatistics College of Health Solutions Arizona State University, USA.  \nYiu-Fai Yung, Ph.D. Senior Manager, Advanced Analytics R & D, SAS Institute Inc.  \nStructural Equation Modeling Using R/SAS  \nA Step-by-Step Approach with Real Data Analysis  \nDing-Geng Chen and Yiu-Fai Yung  \nDesigned cover image: ➞ Ding-Geng Chen and Yiu-Fai Yung  \nFirst edition published 2024 by CRC Press  \n6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742  \nand by CRC Press  \n4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RNCRC Press is an imprint of Taylor & Francis Group, LLC ➞ 2024, Ding-Geng Chen and Yiu-Fai Yung  \nReasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials orthe consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.  \nExcept as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.  \nFor permission to photocopy or use material electronically from this work, access [www.copyright.com or](www.copyright.com or) contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400 . For works that are not available  \non CCC please [contact mpkbookspermissions@tandf.co.uk](contact mpkbookspermissions@tandf.co.uk)  \nTrademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for ide","cbCailbwceTAvhNx","https://ap.wps.com/l/cbCailbwceTAvhNx","pdf",12924057,3,1,429,"English","en",105,"# List of Figures\n# Preface\n# Authors\n# Linear Regression to Path Analysis\n## Descriptive Data Analysis\n## Review of Multiple Linear Regression Model","[{\"question\":\"Who is the book intended for?\",\"answer\":\"The book suits readers interested in learning and practicing structural equation modeling, especially using R and SAS, including applied statisticians, data scientists, public health analysts, practitioners, and academic researchers and graduate students.\"},{\"question\":\"What software is used for the step-by-step analysis?\",\"answer\":\"The analysis illustrations are provided using commonly used statistical software, 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