A Beginner's Guide to Structural Equation Modeling: Third Edition Hardcover – 24 May 2010
- Choose from over 13,000 locations across the UK
- Prime members get unlimited deliveries at no additional cost
- Find your preferred location and add it to your address book
- Dispatch to this address when you check out
There is a newer edition of this item:
Customers who viewed this item also viewed
What other items do customers buy after viewing this item?
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Would you like to tell us about a lower price?
If you are a seller for this product, would you like to suggest updates through seller support?
"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.
Top customer reviews
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.
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.
Would you like to see more reviews about this item?
Look for similar items by category
- Books > Health, Family & Lifestyle > Psychology & Psychiatry > History & Philosophy
- Books > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology > Research
- Books > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology > Testing & Measurement
- Books > Science & Nature > Mathematics > Probability & Statistics
- Books > Science & Nature > Popular Science > Maths
- Books > Scientific, Technical & Medical > Mathematics > Applied Mathematics > Statistics & Probability
- Books > Society, Politics & Philosophy > Social Sciences