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Barbara M. Byrne
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Structural Equation Modeling with Eqs and Eqs/Windows: Basic Concepts, Applications, and Programming Paperback – 19 April 1994

by Barbara Byrne (Author)
5.0 out of 5 stars 3
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There is a newer edition of this item:

Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition
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Designed to help beginners estimate and test structural equation modelling (SEM) using the EQS approach, this book demonstrates a variety of SEM/EQS applications that include both partial factor analytic and full latent variable models. Beginning with an overview of the basic concepts of SEM and the EQS program, the author works through applications starting with a single sample approach through to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modelling with Windows.
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  1. Print length
    304 pages
  2. Language
    English
  3. Publisher
    Sage Publications, Inc
  4. Publication date
    19 April 1994
  5. Dimensions
    15.24 x 1.75 x 22.86 cm
  6. ISBN-10
    0803950926
  7. ISBN-13
    978-0803950924
  8. See all details
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Product description

Review

". . . . Newcomers to SEM who want to use EQS or EQS/Windows would benefit greatly from this book, either for self-teaching or as a supplemental guide in a course. . . . Byrne intends her books 'to provide a practical guide to SEM using the EQS approach.' She succeeds admirably."


Product details

  • Publisher ‏ : ‎ Sage Publications, Inc; 1st edition (19 April 1994)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 304 pages
  • ISBN-10 ‏ : ‎ 0803950926
  • ISBN-13 ‏ : ‎ 978-0803950924
  • Dimensions ‏ : ‎ 15.24 x 1.75 x 22.86 cm
  • Customer Reviews:
    5.0 out of 5 stars 3

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Barbara M. Byrne

Barbara M. Byrne

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Flor de María Garcia Martinez
5.0 out of 5 stars Excelente
Reviewed in Mexico on 8 January 2016
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le asigno 5 estrellas ya que el libro esta muy completo se lo recomiendo a quienes desean aprender sobre estadística avanzada.
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