Principles and Practice of Structural Equation Modeling, Fourth Edition

Principles and Practice of Structural Equation Modeling, Fourth Edition
Author: Rex B. Kline
Publisher: Guilford Publications
Total Pages: 553
Release: 2015-11-03
Genre: Social Science
ISBN: 1462523358

New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.

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

This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.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

Principles and Practice of Structural Equation Modeling, Fourth Edition
Author: Rex B. Kline
Publisher: Guilford Publications
Total Pages: 553
Release: 2015-11-04
Genre: Social Science
ISBN: 146252334X

New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.

Principles and Practice of Structural Equation Modeling, Second Edition

Principles and Practice of Structural Equation Modeling, Second Edition
Author: Rex B. Kline
Publisher: Guilford Press
Total Pages: 366
Release: 2004-11-03
Genre: Social Science
ISBN: 9781593850753

This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

Structural Equation Modeling With AMOS

Structural Equation Modeling With AMOS
Author: Barbara M. Byrne
Publisher: Psychology Press
Total Pages: 348
Release: 2001-04
Genre: Psychology
ISBN: 1135667683

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

Principles and Practice of Structural Equation Modeling, Third Edition

Principles and Practice of Structural Equation Modeling, Third Edition
Author: Rex B. Kline
Publisher: Guilford Press
Total Pages: 427
Release: 2010-08-04
Genre: Psychology
ISBN: 9781606238769

This bestselling text provides a balance between the technical and practical aspects of structural equation modeling (SEM). Using clear and accessible language, Rex B. Kline covers core techniques, potential pitfalls, and applications across the behavioral and social sciences. Some more advanced topics are also covered, including estimation of interactive effects of latent variables and multilevel SEM. The companion Web page offers downloadable syntax, data, and output files for each detailed example for EQS, LISREL, and Mplus, allowing readers to view the results of the same analysis generated by three different computer tools. New to This Edition*Thoroughly revised and restructured to follow the phases of most SEM analyses.*Syntax, data, and output files for all detailed research examples are now provided online.*Chapter on computer tools.*Exercises with answers, which support self-study.*Topic boxes on specialized issues, such as dealing with problems in the analysis; the assessment of construct measurement reliability; and more.*Updated coverage of a more rigorous approach to hypothesis and model testing; the evaluation of measurement invariance; and more. *”Troublesome” examples have been added to provide a context for discussing how to handle various problems that can crop up in SEM analyses.

Principles and Practice of Structural Equation Modeling

Principles and Practice of Structural Equation Modeling
Author: Rex B. Kline
Publisher: Guilford Publication
Total Pages: 366
Release: 2005
Genre: Psychology
ISBN: 9781572306905

This book ist intended to serve as a guide to the priciples, assumptions, strenghts, limitations, and applications of structural equation modeling (SEM) for researchers and students who do not have extensive quantitative backgrounds. Some familiarity with basic concepts such as correlation is assumed, but higher levels of statistical knowledge are not requiered. Accordingly, the presentation is conceptually rather than mathematically oriented, the use of formulas and symbols is kept to a minimum, and many examples are offered of the application of SEM to a wide variety of research problems in psychology, education, and health sciences, among other areas. This book also has a home page on the Internet (www.guilford.com --> Kline).

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling
Author: Randall E. Schumacker
Publisher: Psychology Press
Total Pages: 590
Release: 2004-06-24
Genre: Psychology
ISBN: 1135641919

The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs and data sets; new chapters on importing data issues related to data editing and on how to report research; an updated introduction to matrix notation and programs that illustrate how to compute these calculations; many more computer program examples and chapter exercises; and increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues. The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.

Applying the Rasch Model

Applying the Rasch Model
Author: Trevor G. Bond
Publisher: Psychology Press
Total Pages: 358
Release: 2013-11-05
Genre: Education
ISBN: 1135602646

Written in an accessible style, this book facilitates a deep understanding of the Rasch model. Authors Bond and Fox review the crucial properties of the Rasch model and demonstrate its use with a wide range of examples including the measurement of educational achievement, human development, attitudes, and medical rehabilitation. A glossary and numerous illustrations further aid the reader's understanding. The authors demonstrate how to apply Rasch analysis and prepare readers to perform their own analyses and interpret the results. Updated throughout, highlights of the Second Edition include: a new CD that features an introductory version of the latest Winsteps program and the data files for the book’s examples, preprogrammed to run using Winsteps; a new chapter on invariance that highlights the parallels between physical and human science measurement; a new appendix on analyzing data to help those new to Rasch analysis; more explanation of the key concepts and item characteristic curves; a new empirical example with data sets demonstrates the many facets of the Rasch model and other new examples; and an increased focus on issues related to unidimensionality, multidimensionality, and the Rasch factor analysis of residuals. Applying the Rasch Model is intended for researchers and practitioners in psychology, especially developmental psychologists, education, health care, medical rehabilitation, business, government, and those interested in measuring attitude, ability, and/or performance. The book is an excellent text for use in courses on advanced research methods, measurement, or quantitative analysis. Significant knowledge of statistics is not required.

An Introduction to Multilevel Modeling Techniques

An Introduction to Multilevel Modeling Techniques
Author: Ronald H. Heck
Publisher: Psychology Press
Total Pages: 233
Release: 1999-11-01
Genre: Computers
ISBN: 1135678316

This book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets. Although the focus is primarily on educational and organizational settings, the examples will help the reader discover other applications for these techniques. Two basic classes of multilevel models are developed: multilevel regression models and multilevel models for covariance structures--are used to develop the rationale behind these models and provide an introduction to the design and analysis of research studies using two multilevel analytic techniques--hierarchical linear modeling and structural equation modeling.