A Beginner's Guide to Structural Equation Modeling A basic introduction to structural equation modeling (SEM), this text focuses on the conceptual steps one takes in analyzing theoretical models. The authors' goal is to enable the reader to conduct their own SEM analysis and understand and critique SEM research. Full description
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to conduct an SEM analysis. Checklists are provided for each step, from model specification through validation. The accompanying CD provides all of the programs needed to do the analysis, with accompanying screen shots and directions in the book to allow the reader to self-teach the software application. This book would serve well as either a reference text or a required text for a course."
—Technometrics
"This book would be an invaluable resource for any student or researcher who wishes to begin exploring SEM, path analysis, or confirmatory factor analysis and who is willing to conscientiously treat this book as a self-taught course....a book which manages to be clear and understandable without spoon-feeding or talking down to the reader."
—Journal of Personality Assessment
"Before Schumacker and Lomax, I had a difficult time identifying the 'one source' that would provide a very straightforward introduction to SEM, enough detail about these modeling methods and current issues in the field, and enough of a base for a reader to take the next step and formally consider their own data in SEM...I am a great fan of this book."
—Abigail T. Panter, Ph.D.
University of North Carolina, Chapel Hill
This book presents a basic introduction to structural equation modeling (SEM) and focuses on the conceptual steps one takes in analyzing theoretical models. The book reviews correlation and covariance, followed by multiple regression, path, and factor analysis techniques, so the reader can better understand the building blocks of SEM. The authors' goal is to enable the reader to conduct their own SEM analysis and understand and critique SEM research. Utilizing a conceptual-and application-oriented approach, each chapter covers basic concepts, principles, and practices, and then utilizes available SEM software to provide meaningful examples. Most chapters follow the conceptual sequence of SEM steps known as model specification, identification, estimation, testing, and modification. An SEM checklist is included to guide the reader's model analysis according to the basic steps a researcher takes. The text also includes numerous SEM examples, using the latest versions of Amos (5.0), EQS (6.1), and LISREL (8.54). The SEM software packages are easy-to-use, Windows-based programs with pull-down menus, dialog boxes, and drawing tools. The SEM model examples do not require complicated progr
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