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Structural Equation Modeling: Foundations and Extensions [Hardcover]

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  • Category: Books (Social Science)
  • Author:  Kaplan, David W.
  • Author:  Kaplan, David W.
  • ISBN-10:  1412916240
  • ISBN-10:  1412916240
  • ISBN-13:  9781412916240
  • ISBN-13:  9781412916240
  • Publisher:  Sage Publications
  • Publisher:  Sage Publications
  • Pages:  272
  • Pages:  272
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2008
  • Pub Date:  01-Jun-2008
  • SKU:  1412916240-11-MPOD
  • SKU:  1412916240-11-MPOD
  • Item ID: 101281959
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 12 to Oct 14
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face.

Intended Audience

While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.

Clearly and precisely shows how SEM can be used to answer or provide insight to substantive questions, specifically by weaving a small set of empirical examples and data throughout the chaptersThe students found it difficult to understand, it is suitable for PhD research or higherA must have for those looking forward understanding SEM at the equations level.Unfortunately the book starts too quickly into technical details without explaining basics such as endogenous and exogenous variables (p.14). It is therefore not suitable as a text book for beginners.excellent companion to primary book selected.this book is too difficult for any studentsIt provides a great foundation to SEM in a way that students will understandThis is a very useful guide to structural equation modelling. I would recommend it as supplemental material for my measurement courses.An excellent, accessible book. The structure is clear, the maths are well explained and progressed throughout the book. With the book it is possible to embark on SEM without floundering.Easy to use text - provides the essentials for researchers who are not primarily methodologists, making it excellent for students.It is great book for long. data analysis, I will definitely use this book for my students.A classic book well explained and appropriate for an introduction to SEMAlthough the course will be held in English, stulS
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