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A First Course in Structural Equation Modeling by Tenko Raykov

A First Course in Structural Equation Modeling

2nd Edition

Tenko Raykov, George A. Marcoulides

Taylor and Francis · Print & ebook · March 23, 2006

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.

Regression AnalysisMultivariate Analysis
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Who it’s for
A conceptual introduction to SEM connects regression ideas with software examples.
Genres
Multivariate Analysis, Regression Analysis
Published
Taylor and Francis, March 23, 2006

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About this book

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.

Continue reading

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 ¿ A CD 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.

SEM, Conceptually

A conceptual introduction to SEM connects regression ideas with software examples.

Come here for

  • An introductory treatment of structural equation modeling
  • Examples from EQS, LISREL, and Mplus

Expect

  • A few formulas used illustratively, not computationally
  • Basic statistics through regression is recommended

Where it sits

Multivariate Analysis90%
Regression Analysis65%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Business Statistics
Authors
Tenko Raykov, George A. Marcoulides
Publisher
Taylor and Francis
Published
March 23, 2006
Format
Print & ebook
Reading lane
Business Statistics