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Recent Developments on Structural Equation Models

Recent Developments on Structural Equation Models
Author: Kees van Montfort
Publisher: Springer Science & Business Media
Total Pages: 380
Release: 2004-04-30
Genre: Psychology
ISBN: 9781402019579

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After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, education, psychology, economics, management and medical sciences. In addition to an extension of its application area, Structural Equation Modelling also features a continual renewal and extension of its theoretical background. The sixteen contributions to this book, written by experts from many countries, present important new developments and interesting applications in Structural Equation Modelling. The book addresses methodologists and statisticians professionally dealing with Structural Equation Modelling to enhance their knowledge of the type of models covered and the technical problems involved in their formulation. In addition, the book offers applied researchers new ideas about the use of Structural Equation Modeling in solving their problems. Finally, methodologists, mathematicians and applied researchers alike are addressed, who simply want to update their knowledge of recent approaches in data analysis and mathematical modelling.


Recent Developments on Structural Equation Models

Recent Developments on Structural Equation Models
Author: Kees van Montfort
Publisher: Springer Science & Business Media
Total Pages: 364
Release: 2004-03-31
Genre: Psychology
ISBN: 1402019580

Download Recent Developments on Structural Equation Models Book in PDF, ePub and Kindle

After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, education, psychology, economics, management and medical sciences. In addition to an extension of its application area, Structural Equation Modelling also features a continual renewal and extension of its theoretical background. The sixteen contributions to this book, written by experts from many countries, present important new developments and interesting applications in Structural Equation Modelling. The book addresses methodologists and statisticians professionally dealing with Structural Equation Modelling to enhance their knowledge of the type of models covered and the technical problems involved in their formulation. In addition, the book offers applied researchers new ideas about the use of Structural Equation Modeling in solving their problems. Finally, methodologists, mathematicians and applied researchers alike are addressed, who simply want to update their knowledge of recent approaches in data analysis and mathematical modelling.


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.


New Developments and Techniques in Structural Equation Modeling

New Developments and Techniques in Structural Equation Modeling
Author: George A. Marcoulides
Publisher: Psychology Press
Total Pages: 354
Release: 2001-03
Genre: Mathematics
ISBN: 1135657815

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The revision of this edited volume introduces the latest issues and developments in SEM techniques. The book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. Includes cases & examples.


Longitudinal Structural Equation Modeling

Longitudinal Structural Equation Modeling
Author: Todd D. Little
Publisher: Guilford Publications
Total Pages: 642
Release: 2023-12-27
Genre: Business & Economics
ISBN: 1462553141

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Beloved for its engaging, conversational style, this valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM. Emphasizing a decision-making approach, leading methodologist Todd D. Little describes the steps of modeling a longitudinal change process. He explains the big picture and technical how-tos of using longitudinal confirmatory factor analysis, longitudinal panel models, and hybrid models for analyzing within-person change. User-friendly features include equation boxes that translate all the elements in every equation, tips on what does and doesn't work, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for the examples--including studies of bullying and victimization, adolescents' emotions, and healthy aging--along with syntax and output, chapter quizzes, and the book’s figures. New to This Edition: *Chapter on missing data, with a spotlight on planned missing data designs and the R-based package PcAux. *Chapter on longitudinal mixture modeling, with Whitney Moore. *Chapter on the random intercept cross-lagged panel model (RI-CLPM), with Danny Osborne. *Chapter on Bayesian SEM, with Mauricio Garnier. *Revised throughout with new developments and discussions, such as how to test models of experimental effects.


Handbook of Structural Equation Modeling

Handbook of Structural Equation Modeling
Author: Rick H. Hoyle
Publisher: Guilford Publications
Total Pages: 801
Release: 2023-02-17
Genre: Business & Economics
ISBN: 1462544649

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"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"--


New Developments and Techniques in Structural Equation Modeling

New Developments and Techniques in Structural Equation Modeling
Author: George A. Marcoulides
Publisher: Psychology Press
Total Pages: 354
Release: 2001-03-01
Genre: Psychology
ISBN: 1410601854

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Featuring contributions from some of the leading researchers in the field of SEM, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel modeling, interaction modeling, models for dealing with nonstandard and noncompliance samples, the latest on the analysis of growth curve and longitudinal data, specification searches, item parceling, and equivalent models. This volume will appeal to educators, psychologists, biologists, business professionals, medical researchers, and other social and health scientists. It is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course that included coverage of introductory SEM techniques.


New Methods for the Analysis of Change

New Methods for the Analysis of Change
Author: Linda M. Collins
Publisher: Amer Psychological Assn
Total Pages: 442
Release: 2001-01-01
Genre: Medical
ISBN: 9781557987549

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Annotation Psychologists update the Association's 1991 with 12 studies, many from a conference held at Pennsylvania State University in 1998, and some with comments attached. The topics include differential structural equation modeling of intra-individual variability, combining auto-regressive and latent curve models, and planned missing-data designs for analyzing change. Annotation c. Book News, Inc., Portland, OR (booknews.com).


Structural Equation Modeling

Structural Equation Modeling
Author: Rick H. Hoyle
Publisher: SAGE
Total Pages: 316
Release: 1995-02-28
Genre: Psychology
ISBN: 9780803953185

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Reviews some of the major issues facing researchers who wish to use structural equation modeling. This title includes individual chapters that present developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data.


Growth Modeling

Growth Modeling
Author: Kevin J. Grimm
Publisher: Guilford Publications
Total Pages: 558
Release: 2016-10-17
Genre: Social Science
ISBN: 1462526063

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Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.