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A Beginner's Guide to Structural Equation Modeling: Third Edition Paperback – 21 May 2010


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Product details

  • Paperback: 536 pages
  • Publisher: Routledge; 3 edition (21 May 2010)
  • Language: English
  • ISBN-10: 1841698911
  • ISBN-13: 978-1841698915
  • Product Dimensions: 15.2 x 2.7 x 22.9 cm
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Bestsellers Rank: 634,957 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

"From the first edition this book has been the leading book on this topic, providing an authoritative and systematic treatment of SEM for both researchers and practitioners. [It is] well organised and clearly written [and] can be recommended as a textbook to teach a full course in SEM. [A] good mixture of theory and practical applications ... graduate and research students will definitely enjoy reading this book [and] practitioners may find the book useful. I would also recommend it for library purchase." - Kuldeep Kumar, Bond University, Gold Coast, in the Journal of the Royal Statistical Society

"The authors’ considerable experience as modelers and teachers really shines throughout this edition, as reflected in the accessibility and coverage of the writing, the extensive practical software examples, and the useful troubleshooting and reporting tips." - Gregory R. Hancock, University of Maryland, USA

"The authors guide us through SEM basics to more advanced techniques in an easily comprehensible style. As such, it is a great resource for both novice and veteran users of SEM." - Maria Regina Reyes, Yale University, USA

"Their step-by-step approach … makes the "how-to" extremely clear… The reader comes away not only knowing the logistics of how to run the models but also the conceptual of when to run them and how to interpret the findings. Their coverage of assumptions, data cleaning and screening, and common SEM errors is extremely refreshing for those who work with real, messy data. This is a much anticipated edition to the already classical text." - Debbie Hahs-Vaughn, University of Central Florida, USA

"There are a number of features that set this book apart ... it covers a variety of applications ... from simple regression models to highly complex analyses. ...[and] it takes a non-mathematical approach which makes [it] less intimidating.... students have found it to be quite readable and friendly ... I have continued to use it because it is the most comprehensive and helpful to students." - Philip Smith, Dept. of Ed Leadership, Counseling, & Special Education, Augusta State University, USA

About the Author

Randall E. Schumacker is Professor of Educational Research at The University of Alabama where he teaches courses in structural equation modeling. He received his Ph.D. in Educational Psychology from Southern Illinois University. A Past-President of the Southwest Educational Research Association and Emeritus Editor of Structural Equation Modeling, Dr. Schumacker has also served on the editorial boards of numerous journals. His research interests include modeling interaction in SEM, robust statistics, measurement model issues related to estimation, and reliability.

Richard G. Lomax is a Professor in the School of Educational Policy and Leadership at The Ohio State University where he teaches courses in structural equation modeling. He received his Ph.D. in Educational Research Methodology from the University of Pittsburgh. He has served on the editorial boards of numerous journals. His research focuses on models of literacy acquisition, multivariate statistics, and assessment.


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Most Helpful Customer Reviews

11 of 13 people found the following review helpful By A Customer on 15 May 2001
Format: Paperback
With Structural Equation Modeling (SEM) becoming an important statistical tool, this book serves as an excellant guide to the topic. It covers the rudimentary topics that are important in SEM (e.g., sample size, interpretation of goodness of fit indices) as well as a short chapter on some advanced topics (e.g., Bootstrap methods, interactions). Lots of examples included at the end of each chapter as well as one chapter devoted to complete examples (i.e., from formulating models, command lines for the computer package and interpretation of outputs)! Though the many examples stated in the book involve using EQS5 and LISREL8 computer packages, even if the reader does not have these programs, the book is still very useful. If you ever wanted to ask what this or that mean in a SEM analysis that you are doing or have read - this book most probably has the answers! Personally, I have found this to be a helpful introduction to SEM without too much distracting mathematical details. My advice - GET IT!
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1 of 1 people found the following review helpful By James Tighe on 10 Mar. 2013
Format: Paperback
If you are an intermediate statistician (i.e. you are well grounded in regression in all its forms and aspects) then this will help you on the journey to being advanced. SEQ is difficult but incredibly powerful and use hIt takes you through the process one step at a time and briefly reviews some of the background you need. But don't expect to get enough background just from the book.
I think it is now out of print - I got my copy second hand. But an update and re-release would be a good idea.
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By John M. Ford TOP 500 REVIEWER on 11 Dec. 2013
Format: Paperback
Randall Schumacker and Richard Lomax's book introduces structural equation modeling (SEM) to researchers with some previous background in applied statistics. It begins with the basics of correlation and then outlines the logic of multiple regression, path analysis, and factor analysis. It presents SEM as a combination of these three analytical techniques. The final chapters discuss more complex SEM procedures. There are also useful discussions of how to report SEM studies and check the validity of SEM results.

The SEM model development process of data preparation, specification, identification, estimation, testing, and modification is used to structure discussion across chapters. This organization works well and makes the book useful as a reference as well as a text. Most chapters contain example analyses which are explained in detail. There are also end-of-chapter exercises with answers to odd-numbered problems in an appendix.

A key strength is the book's integration with the LISREL 8.80 Student software, which is available for free download from the web. Early chapters explain the basics of LISREL and how to import data. Subsequent chapters use LISREL code and output in examples and exercises. This kind of hands-on work is essential to learning SEM.

I recommend the book as a text or for independent study for those learning about SEM for the first time.
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1 of 2 people found the following review helpful By sekuru freddy on 4 Jun. 2013
Format: Paperback Verified Purchase
content i would rate 4/5.

not for dummies though.

not many books do a good SEM book for people/students just wanting to complete a dissertation.
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By Yizhong on 31 Jan. 2015
Format: Paperback Verified Purchase
Useful for my PhD Study
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