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

by Barbara M. Byrne


Structural Equation Modeling. Barbara M. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada

Structural Equation Modeling. recommend this as the first resource for those using EQS in their modeling endeavors. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada.

Consistent with this rationale, model specifications were identical in both groups (Byrne, 2008). Multi-group causal structure analyses were performed using EQS . (Bentler, 2005). To test the invariance of causal structures, or measurement, across groups, we followed the sequence of nested models proposed by Vandenberg and Lance (2000) and Byrne (2008), increasing the constraints from one model to the next.

The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and .

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. 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.

Электронная книга "Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming", Barbara M. Byrne. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming" для чтения в офлайн-режиме.

Start by marking Structural Equation Modeling With EQS: Basic . 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.

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This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and appli.

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Readerswho 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.
hardy
This book is great for learning EQS. It is helpful and well-laid out. Most of my problems just stem from disliking EQS but the book has nothing to do with that.
Ffrlel
This is good book to have for the beginning researcher who has the basic statistics background and is learning SEM. I find myself referring back to this book frequently.
Vushura
Very easy to use for novices interested in using SEM. Use it in conjunction with the EQS user's guide, and you have a solid start to SEM.
BoberMod
This is an excellent book
Swiang
Byrne offers a more readable alternative to the hard core approach of learning EQS from its official manual. The latter presents a heavily mathematical framework that might be offputting to some readers who lack a strong statistical background.

Instead, her book goes through much of what EQS can do for you. But at a gentler pace. Giving a brief walkthrough of multivariate statistical modelling. The book starts off explaining the format of the EQS input file. It uses a graphical approach similar to what electrical engineers have for laying out circuits. More intuitive for the user. Where you can draw regressions paths from one component in the diagram to other components, for example. This is reminiscent of how SPICE went from a text input file that described a circuit to a graphical approach that was far easier to understand.

Much of the book then goes into how you can test for causality in your model. EQS has formidable abilities to do so, and you need to master how to control these.
Mr.Bean
The book is here and came in quickly.
Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series) ebook
Author:
Barbara M. Byrne
Category:
Biological Sciences
Subcat:
EPUB size:
1529 kb
FB2 size:
1176 kb
DJVU size:
1167 kb
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Publisher:
Routledge; 2 edition (February 19, 2006)
Pages:
454 pages
Rating:
4.8
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