Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series) 2nd Edition

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Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series) 2nd Edition

Barbara M. Byrne

ISBN10: 0805841261

ISBN13: 978-0805841268

Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series) 2nd Edition

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Amazon Code 0805841261
Sales Rank 620669
Description

Readers who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models.

Written in a "user-friendly" style, the author "walks" the reader through the varied steps involved in the process of testing SEM models: model specification and estimation, assessment of model fit, EQS output, and interpretation of findings. Each of the book's applications is accompanied by: a statement of the hypothesis being tested, a schematic representation of the model, explanations of the EQS input and output files, tips on how to use the pull-down menus, and the data file upon which the application is based. The book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling.

The new edition features:

  • many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multigroup model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model;
  • a CD enclosed with the book that includes all application data;
  • vignettes illustrating procedural and/or data management tasks; and
  • description of how to build models both interactively using the BUILD-EQ interface and graphically using the EQS Diagrammer.
Author Barbara M. Byrne
Binding Paperback
EAN 9780805841268
Edition 2
ISBN 0805841261
ItemDimensions 875x75
Label Routledge
Languages English
Manufacturer Routledge
NumberOfItems 1
NumberOfPages 454
PackageDimensions 118x591
PackageQuantity 1
ProductGroup Book
ProductTypeName ABIS_BOOK
PublicationDate 2006-02-19
Publisher Routledge
Studio Routledge
Title Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series)
title Structural Equation Modeling with EQS
subtitle Basic Concepts, Applications, and Programming
authors Barbara M. Byrne
publisher Psychology Press
publishedDate 2006
description Readers who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Written in a "user-friendly" style, the author "walks" the reader through the varied steps involved in the process of testing SEM models: model specification and estimation, assessment of model fit, EQS output, and interpretation of findings. Each of the book's applications is accompanied by: a statement of the hypothesis being tested, a schematic representation of the model, explanations of the EQS input and output files, tips on how to use the pull-down menus, and the data file upon which the application is based. The book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features: many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multigroup model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model; a CD enclosed with the book that includes all application data; vignettes illustrating procedural and/or data management tasks; and description of how to build models both interactively using the BUILD-EQ interface and graphically using the EQS Diagrammer.
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