Structural Equation Modeling With EQS - Basic Concepts, Applications, and Programming, Second Edition (Hardcover, 2nd edition)

Researchers and students 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. Analyses are based on a wide variety of data representing single and multiple-group models; these include data that are normal/non-normal, complete/incomplete, and continuous/categorical. Written in a user-friendly style, the author walks the reader through the varied steps involved in the process of testing SEM models. These include model specification and estimation, assessment of model fit, description of EQS output, and interpretation of findings. hypothesis being tested, a schematic representation of the model, explanations and interpretations of the related EQS input and output files, tips on how to use the associated pull-down menus and icons, and the data file upon which the application is based. Beginning with an overview of the basic concepts of SEM and the EQS program, 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 multi-group 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 using a Windows interface. Description of how to build models both interactively using the BUILD_EQ interface and graphically using the EQS Diagrammer.

General

Imprint:	Routledge Member of the Taylor and Francis Group
Country of origin:	United States
Series:	Multivariate Applications Series
Release date:	February 2006
First published:	2006
Authors:	Barbara M. Byrne
Dimensions:	229 x 152 x 32mm (L x W x T)
Format:	Hardcover
Pages:	454
Edition:	2nd edition
ISBN-13:	978-0-8058-4125-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-8058-4125-3
Barcode:	9780805841251

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