Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis
Language: English
Published by Psychology Press, 2003
- Softcover
- Used
Seller: ThriftBooks-Reno, Reno, NV, U.S.A.ThriftBooks-Reno
AbeBooks seller since May 25, 2012
Condition: Used - Very good
US$ 8.86
Quantity: 1 available
Add to basketItem description from seller
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G0805849106I4N00
- Title
- Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis
- Author
- Loehlin, John C.; Loehlin
- Publisher
- Psychology Press
- Publication year
- 2003
- Condition
- Very Good
- Dust jacket
- No Jacket
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0805849106
- ISBN 13
- 9780805849103
- Edition
- 4th Edition
- Item weight
- 1.21 pounds
New in the fourth edition of Latent Variable Models:
*a data CD that features the correlation and covariance matrices used in the exercises;
*new sections on missing data, non-normality, mediation, factorial invariance, and automating the construction of path diagrams; and
*reorganization of chapters 3-7 to enhance the flow of the book and its flexibility for teaching.
Intended for advanced students and researchers in the areas of social, educational, clinical, industrial, consumer, personality, and developmental psychology, sociology, political science, and marketing, some prior familiarity with correlation and regression is helpful.
"Synopsis" may belong to another edition of this title.
Review
Overall this is an excellent book and has served as a standard textbook for many years....The section on power is really terrific....Loehlin addresses complex topics very clearly.
—Jodie Ullman, Ph.D.
California State University, San Bernadino
The uniqueness of Loehlin's book is to mainly use path diagrams with minimum or no equations in presenting the structural equation model (SEM) and factor analysis (FA) model. This is good for students who do not have a lot of statistical or mathematical background.
—Ke-Hai Yuan, Ph.D.
Notre Dame University
"About the title" may belong to another edition of this title.
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