Structural Equation Modeling
Language: English
Published by Emerald Publishing Inc, US, 2013
- Softcover
- New

Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
US$ 111.83
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Add to basketItem description from seller
Sponsored by the American Educational Research Association's Special Interest Group for Educational StatisticiansThis volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
Seller Inventory # LU-9781623962449
- Title
- Structural Equation Modeling
- Author
- Gregory R. Hancock
- Publisher
- Emerald Publishing Inc, US
- Publication year
- 2013
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1623962447
- ISBN 13
- 9781623962449
- Edition
- 2nd Edition
- Item weight
- 968 grams
- Dimensions
- 15.56 x 4.04 x 23.5 cm
Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians
This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
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