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Structural Equation Modeling With EQS

Barbara M. Byrne
€198.40
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A01=Barbara M. Byrne
Author_Barbara M. Byrne
BENTLER BONETT NON-NORMED
Category=PBT
construct validity evaluation
covariance
CU Model
Dialog Box
Emotional Exhaustion
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
EQS Input
EQS Input File
EQS Output
EQS Program
error
Error Covariance
factorial validity
file
fit
Fit Index
Fit Indexes
freedom
FREEDOM PROBABILITY
Full Latent Variable Model
Full Structural Equation Model
hypothesis testing methods
index
input
LAGRANGE Multiplier Test
Latent Factor Means
Latent Growth Curve Model
latent growth modeling
Lm Test
Lm Test Result
Lm Test Statistic
model fit assessment
multigroup analysis
Multigroup Invariance
Multitrait Multimethod Model
output
Select EQS Output
selected
Standardize RMR
summary
Test Statistic
user-friendly SEM applications

Product details

  • ISBN 9780805841251
  • Weight: 1000g
  • Dimensions: 152 x 229mm
  • Publication Date: 17 Feb 2006
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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;
  • downloadable resources 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.
About Barbara M. Byrne
Barbara M. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada. An internationally recognized expert in the area of SEM, Dr. Byrne’s research focuses on construct validity issues as they relate to theoretical constructs and measuring instruments. She is the author of　　7 popular introductory books on SEM　and has conducted over 100 SEM workshops at conferences, universities, and test publishers around the globe. In addition to the publication of over 95 book chapters and scholarly journal articles, most of which have addressed SEM application issues, she is the author of an important reference book, Measuring Self-concept Across the Lifespan: Issues and Instrumentation. Dr. Byrne is the recipient of three Distinguished Teaching Awards presented by the Canadian Psychological Association, the American Psychological Association (APA), and the APA, Division 5 (Jacob Cohen Award). She is a Fellow in two APA Divisions, is a Foundation member on the International Board of the SELF Research Centre, University of Western Sydney, Australia, and is an elected member of the Society of Multivariate Experimental Psychology.

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