Principles and Practice of Structural Equation Modeling

Principles and Practice of Structural Equation Modeling
Author: Rex B. Kline
Publisher: Guilford Publications
Total Pages: 554
Release: 2015-10-08
Genre: Social Science
ISBN: 1462523005


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This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.


Principles and Practice of Structural Equation Modeling, Fourth Edition
Language: en
Pages: 553
Authors: Rex B. Kline
Categories: Social Science
Type: BOOK - Published: 2015-11-03 - Publisher: Guilford Publications

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New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process model
Latent Variable Models
Language: en
Pages: 303
Authors: John C. Loehlin
Categories: Business & Economics
Type: BOOK - Published: 2004-05-20 - Publisher: Psychology Press

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This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less
Structural Equation Modeling With AMOS
Language: en
Pages: 348
Authors: Barbara M. Byrne
Categories: Psychology
Type: BOOK - Published: 2001-04 - Publisher: Psychology Press

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This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This go
Principles and Practice of Structural Equation Modeling, Second Edition
Language: en
Pages: 366
Authors: Rex B. Kline
Categories: Social Science
Type: BOOK - Published: 2004-11-03 - Publisher: Guilford Press

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This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental
Principles and Practice of Structural Equation Modeling
Language: en
Pages: 366
Authors: Rex B. Kline
Categories: Psychology
Type: BOOK - Published: 2005 - Publisher: Guilford Publication

GET EBOOK

This book ist intended to serve as a guide to the priciples, assumptions, strenghts, limitations, and applications of structural equation modeling (SEM) for res