A First Course in Structural Equation Modeling
Marcoulides, George A., Raykov, Tenko
Language: English
Published by Taylor & Francis Group, 2006
- Softcover
- Used

Seller: Better World Books Ltd, Dunfermline, United KingdomBetter World Books Ltd
AbeBooks seller since October 13, 2008
Condition: Used - Good
£ 4.83
Quantity: 3 available
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Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller Inventory # 9593353-20
- Title
- A First Course in Structural Equation Modeling
- Author
- Marcoulides, George A., Raykov, Tenko
- Publisher
- Taylor & Francis Group
- Publication year
- 2006
- Condition
- Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0805855882
- ISBN 13
- 9780805855883
- Edition
- 2nd Edition
- Item weight
- 0.803 pounds
- Dimensions
- N/A
In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one.
Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software.
Highlights of the Second Edition include:
• Review of latent change (growth) analysis models at an introductory level
• Coverage of the popular Mplus program
• Updated examples of LISREL and EQS
• Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples.
A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.
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About the Author
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Better World Books Ltd
Dunfermline, United Kingdom
AbeBooks seller since October 13, 2008
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