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A First Course in Structural Equation Modeling Second Edition (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. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one.
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.

 A First Course in Structural Equation Modeling Second Edition

A Beginners Guide to Structural Equation Modeling Second Edition



Overview

The second edition features:
  • a CD with all of the book's Amos, EQS, and LISREL programs and data sets;
  • new chapters on importing data issues related to data editing and on how to report research;
  • an updated introduction to matrix notation and programs that illustrate how to compute these calculations;
  • many more computer program examples and chapter exercises; and
  • increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues.
The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.
ISBN-13: 9780805840179
Publisher: Taylor & Francis
Publication date: 6/4/2004
Series: The Inquiry and Pedagogy Across Diverse Contexts Series
Edition description: REV
Edition number: 2
Pages: 304
Lexile: 1450L (what's this?)
Product dimensions: 6.20 (w) x 9.20 (h) x 1.30 (d)

A Beginners Guide to Structural Equation Modeling