Structural Equation Modeling by David Kaplan

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : David Kaplan
  • Publisher : SAGE Publications
  • ISBN Code : 148334259X
  • Pages : 272
  • Format : Pdf - ePub
  • Language : English
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Summary:

Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.


Structural Equation Modeling by Rick H. Hoyle

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : Rick H. Hoyle
  • Publisher : SAGE
  • ISBN Code : 9780803953185
  • Pages : 289
  • Format : Pdf - ePub
  • Language : English
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Summary:

This largely nontechnical volume reviews some of the major issues facing researchers who wish to use structural equation modeling. Individual chapters present recent developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data. Numerous examples of applications are given and attention is paid to the underlying philosophy of structural equation modeling and to writing up results from structural equation modeling analyses.


A Beginner's Guide to Structural Equation Modeling by Randall E. Schumacker,Richard G. Lomax

A Beginner's Guide to Structural Equation Modeling
  • Title : A Beginner's Guide to Structural Equation Modeling
  • Author : Randall E. Schumacker,Richard G. Lomax
  • Publisher : Routledge
  • ISBN Code : 1136968555
  • Pages : 530
  • Format : Pdf - ePub
  • Language : English
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Summary:

This best-seller introduces readers to structural equation modeling (SEM) so they can conduct their own analysis and critique related research. Noted for its accessible, applied approach, chapters cover basic concepts and practices and computer input/output from the free student version of Lisrel 8.8 in the examples. Each chapter features an outline, key concepts, a summary, numerous examples from a variety of disciplines, tables, and figures, including path diagrams, to assist with conceptual understanding. The book first reviews the basics of SEM, data entry/editing, and correlation. Next the authors highlight the basic steps of SEM: model specification, identification, estimation, testing, and modification, followed by issues related to model fit and power and sample size. Chapters 6 through 10 follow the steps of modeling using regression, path, confirmatory factor, and structural equation models. Next readers find a chapter on reporting SEM research including a checklist to guide decision-making, followed by one on model validation. Chapters 13 through 16 provide examples of various SEM model applications. The book concludes with the matrix approach to SEM using examples from previous chapters. Highlights of the new edition include: A website with raw data sets for the book's examples and exercises so they can be used with any SEM program, all of the book's exercises, hotlinks to related websites, and answers to all of the exercises for Instructor’s only New troubleshooting tips on how to address the most frequently encountered problems Examples now reference the free student version of Lisrel 8.8 Expanded coverage of advanced models with more on multiple-group, multi-level, & mixture modeling (Chs. 13 & 15), second-order and dynamic factor models (Ch. 14), and Monte Carlo methods (Ch. 16) Increased coverage of sample size and power (Ch. 5) and reporting research (Ch. 11) New journal article references help readers better understand published research (Chs. 13 – 17) and 25 % new exercises with answers to half in the book for student review. Designed for introductory graduate level courses in structural equation modeling or factor analysis taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. An understanding of correlation is assumed. To access the website visit the book page or the Textbook Resource page at http://www.psypress.com/textbook-resources/ for more details.


Principles and Practice of Structural Equation Modeling, Fourth Edition by Rex B. Kline

Principles and Practice of Structural Equation Modeling, Fourth Edition
  • Title : Principles and Practice of Structural Equation Modeling, Fourth Edition
  • Author : Rex B. Kline
  • Publisher : Guilford Publications
  • ISBN Code : 1462523358
  • Pages : 534
  • Format : Pdf - ePub
  • Language : English
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Summary:

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.


A Beginner's Guide to Structural Equation Modeling by Randall E. Schumacker,Richard G. Lomax

A Beginner's Guide to Structural Equation Modeling
  • Title : A Beginner's Guide to Structural Equation Modeling
  • Author : Randall E. Schumacker,Richard G. Lomax
  • Publisher : Routledge
  • ISBN Code : 1317608097
  • Pages : 372
  • Format : Pdf - ePub
  • Language : English
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Summary:

Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions. Programming details and the use of algebra are kept to a minimum to help readers easily grasp the concepts so they can conduct their own analysis and critique related research. Featuring a greater emphasis on statistical power and model validation than other texts, each chapter features key concepts, examples from various disciplines, tables and figures, a summary, and exercises. Highlights of the extensively revised 4th edition include: -Uses different SEM software (not just Lisrel) including Amos, EQS, LISREL, Mplus, and R to demonstrate applications. -Detailed introduction to the statistical methods related to SEM including correlation, regression, and factor analysis to maximize understanding (Chs. 1 – 6). -The 5 step approach to modeling data (specification, identification, estimation, testing, and modification) is now covered in more detail and prior to the modeling chapters to provide a more coherent view of how to create models and interpret results (ch. 7). -More discussion of hypothesis testing, power, sampling, effect sizes, and model fit, critical topics for beginning modelers (ch. 7). - Each model chapter now focuses on one technique to enhance understanding by providing more description, assumptions, and interpretation of results, and an exercise related to analysis and output (Chs. 8 -15). -The use of SPSS AMOS diagrams to describe the theoretical models. -The key features of each of the software packages (Ch. 1). -Guidelines for reporting SEM research (Ch. 16). -www.routledge.com/9781138811935 which provides access to data sets that can be used with any program, links to other SEM examples, related readings, and journal articles, and more. Reorganized, the new edition begins with a more detailed introduction to SEM including the various software packages available, followed by chapters on data entry and editing, and correlation which is critical to understanding how missing data, non-normality, measurement, and restriction of range in scores affects SEM analysis. Multiple regression, path, and factor models are then reviewed and exploratory and confirmatory factor analysis is introduced. These chapters demonstrate how observed variables share variance in defining a latent variables and introduce how measurement error can be removed from observed variables. Chapter 7 details the 5 SEM modeling steps including model specification, identification, estimation, testing, and modification along with a discussion of hypothesis testing and the related issues of power, and sample and effect sizes.Chapters 8 to 15 provide comprehensive introductions to different SEM models including Multiple Group, Second-Order CFA, Dynamic Factor, Multiple-Indicator Multiple-Cause, Mixed Variable and Mixture, Multi-Level, Latent Growth, and SEM Interaction Models. Each of the 5 SEM modeling steps is explained for each model along with an application. Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research. Designed for introductory graduate courses in structural equation modeling, factor analysis, advanced, multivariate, or applied statistics, quantitative techniques, or statistics II taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. Prerequisites include an introduction to intermediate statistics that covers correlation and regression principles.


Structural Equation Modeling by Robert Cudeck,K. G. Jöreskog,Dag Sörbom,Stephen Du Toit

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : Robert Cudeck,K. G. Jöreskog,Dag Sörbom,Stephen Du Toit
  • Publisher : Scientific Software International
  • ISBN Code : 9780894980497
  • Pages : 598
  • Format : Pdf - ePub
  • Language : English
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Summary:


Structural Equation Modeling With AMOS by Barbara M. Byrne

Structural Equation Modeling With AMOS
  • Title : Structural Equation Modeling With AMOS
  • Author : Barbara M. Byrne
  • Publisher : Psychology Press
  • ISBN Code : 1135667683
  • Pages : 352
  • Format : Pdf - ePub
  • Language : English
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Summary:

A non-mathematical intro to basic concepts underlying SEM with AMOS applications. An ideal companion to the AMOS manual and any stats book incorporating SEM.


Structural Equation Modeling for Social and Personality Psychology by Rick H Hoyle

Structural Equation Modeling for Social and Personality Psychology
  • Title : Structural Equation Modeling for Social and Personality Psychology
  • Author : Rick H Hoyle
  • Publisher : SAGE Publications
  • ISBN Code : 0857024035
  • Pages : 110
  • Format : Pdf - ePub
  • Language : English
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Summary:

Electronic Inspection Copy available for instructors here The SAGE Library in Social and Personality Psychology Methods provides students and researchers with an understanding of the methods and techniques essential to conducting cutting-edge research. Each volume within the Library explains a specific topic and has been written by an active scholar (or scholars) with expertise in that particular methodological domain. Assuming no prior knowledge of the topic, the volumes are clear and accessible for all readers. In each volume, a topic is introduced, applications are discussed, and readers are led step by step through worked examples. In addition, advice about how to interpret and prepare results for publication are presented. Social Psychophysiology for Social and Personality Psychology provides methodological and technical information to help social psychologists make valid and valuable use of peripheral neurophysiological and endocrine measures of psychological constructs.


A Beginner's Guide to Structural Equation Modeling by Randall E. Schumacker,Richard G. Lomax

A Beginner's Guide to Structural Equation Modeling
  • Title : A Beginner's Guide to Structural Equation Modeling
  • Author : Randall E. Schumacker,Richard G. Lomax
  • Publisher : Psychology Press
  • ISBN Code : 1135641919
  • Pages : 304
  • Format : Pdf - ePub
  • Language : English
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Summary:

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.


Structural Equation Modeling by Gregory R. Hancock,Ralph O. Mueller

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : Gregory R. Hancock,Ralph O. Mueller
  • Publisher : IAP
  • ISBN Code : 1623962463
  • Pages : 703
  • Format : Pdf - ePub
  • Language : English
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Summary:

Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller’s highlysuccessful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didacticallyoriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.


Longitudinal Structural Equation Modeling by Jason T. Newsom

Longitudinal Structural Equation Modeling
  • Title : Longitudinal Structural Equation Modeling
  • Author : Jason T. Newsom
  • Publisher : Routledge
  • ISBN Code : 1317975340
  • Pages : 412
  • Format : Pdf - ePub
  • Language : English
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Summary:

This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling options are available for which hypotheses. The author demonstrates how SEM is related to other longitudinal data techniques throughout. By exploring connections between models, readers gain a better understanding of when to choose one analysis over another. The book explores basic models to sophisticated ones including the statistical and conceptual underpinnings that are the building blocks of the analyses. Accessibly written, research examples from the behavioral and social sciences and results interpretations are provided throughout. The emphasis is on concepts and practical guidance for applied research rather than on mathematical proofs. New terms are highlighted and defined in the glossary. Figures are included for every model along with detailed discussions of model specification and implementation issues. Each chapter also includes examples of each model type, comment sections that provide practical guidance, model extensions, and recommended readings. Highlights include: Covers the major SEM approaches to longitudinal analysis in one resource. Explores connections between longitudinal SEM models to enhance integration. Numerous examples that help readers match research questions to appropriate analyses and interpret results. Reviews practical issues related to model specification and estimation to reinforce connections. Analyzes continuous and discrete (binary and ordinal) variables throughout for breadth not found in other sources. Reviews key SEM concepts for those who need a refresher (Ch. 1). Emphasizes how to apply and interpret each model through realistic data examples. Provides the book’s data sets at www.longitudinalsem.com along with the Mplus and R-lavaan syntax used to generate the results. Introduces the LISREL notation system used throughout (Appendix A). The chapters can be read out of order but it is best to read chapters 1 – 4 first because most of the later chapters refer back to them. The book opens with a review of latent variables and analysis of binary and ordinal variables. Chapter 2 applies this information to assessing longitudinal measurement invariance. SEM tests of dependent means and proportions over time points are explored in Chapter 3, and stability and change, difference scores, and lagged regression are covered in Chapter 4. The remaining chapters are each devoted to one major type of longitudinal SEM -- repeated measures analysis models, full cross-lagged panel models and simplex models, modeling stability with state-trait models, linear and nonlinear growth curve models, latent difference score models, latent transition analysis, time series analysis, survival analysis, and attrition. Missing data is discussed in the context of many of the preceding models in Chapter 13. Ideal for graduate courses on longitudinal (data) analysis, advanced SEM, longitudinal SEM, and/or advanced data (quantitative) analysis taught in the behavioral, social, and health sciences, this text also appeals to researchers in these fields. Intended for those without an extensive math background, prerequisites include familiarity with basic SEM. Matrix algebra is avoided in all but a few places.


Structural Equation Modeling with lavaan by Kamel Gana,Guillaume Broc

Structural Equation Modeling with lavaan
  • Title : Structural Equation Modeling with lavaan
  • Author : Kamel Gana,Guillaume Broc
  • Publisher : John Wiley & Sons
  • ISBN Code : 1786303698
  • Pages : 294
  • Format : Pdf - ePub
  • Language : English
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Summary:

This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool. It offers a didactic initiation to SEM as well as to the open-source software, lavaan, and the rich and comprehensive technical features it offers. Structural Equation Modeling with lavaan thus helps the reader to gain autonomy in the use of SEM to test path models and dyadic models, perform confirmatory factor analyses and estimate more complex models such as general structural models with latent variables and latent growth models. SEM is approached both from the point of view of its process (i.e. the different stages of its use) and from the point of view of its product (i.e. the results it generates and their reading).


Structural Equation Modeling by Jichuan Wang,Xiaoqian Wang

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : Jichuan Wang,Xiaoqian Wang
  • Publisher : John Wiley & Sons
  • ISBN Code : 1118356306
  • Pages : 480
  • Format : Pdf - ePub
  • Language : English
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Summary:

A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of various SEM models are demonstrated along with recently developed advanced methods, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The statistical modeling program, Mplus, is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results. Key features: Presents a useful reference guide for applications of SEM whilst systematically demonstrating various advanced SEM models, such as multi-group and mixture models using Mplus. Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Provides step-by-step instructions of model specification and estimation, as well as detail interpretation of Mplus results. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this book, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book.


LISREL 8 by K. G. Jöreskog,Dag Sörbom

LISREL 8
  • Title : LISREL 8
  • Author : K. G. Jöreskog,Dag Sörbom
  • Publisher : Scientific Software International
  • ISBN Code : 9780894980336
  • Pages : 226
  • Format : Pdf - ePub
  • Language : English
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Summary:

Simple examples - Mullti-sample examples - Path diagrams - Fitting and testing - Lisrel output - Simplis reference - Computer exercises.


Structural Equation Modeling With Lisrel, Prelis, and Simplis by Barbara M. Byrne

Structural Equation Modeling With Lisrel, Prelis, and Simplis
  • Title : Structural Equation Modeling With Lisrel, Prelis, and Simplis
  • Author : Barbara M. Byrne
  • Publisher : Psychology Press
  • ISBN Code : 1134809344
  • Pages : 412
  • Format : Pdf - ePub
  • Language : English
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Summary:

This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses. This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.


Testing Structural Equation Models by Kenneth A. Bollen,J. Scott Long

Testing Structural Equation Models
  • Title : Testing Structural Equation Models
  • Author : Kenneth A. Bollen,J. Scott Long
  • Publisher : SAGE
  • ISBN Code : 9780803945074
  • Pages : 320
  • Format : Pdf - ePub
  • Language : English
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Summary:

What is the role of fit measures when respecifying a model? Should the means of the sampling distributions of a fit index be unrelated to the size of the sample? Is it better to estimate the statistical power of the chi-square test than to turn to fit indices? Exploring these and related questions, well-known scholars examine the methods of testing structural equation models (SEMS) with and without measurement error, as estimated by such programs as EQS, LISREL and CALIS.


Discovering Structural Equation Modeling Using Stata 13 (Revised Edition) by Alan C. Acock

Discovering Structural Equation Modeling Using Stata 13 (Revised Edition)
  • Title : Discovering Structural Equation Modeling Using Stata 13 (Revised Edition)
  • Author : Alan C. Acock
  • Publisher : Stata Press
  • ISBN Code : 9781597181396
  • Pages : 306
  • Format : Pdf - ePub
  • Language : English
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Summary:

Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning. A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text.


Longitudinal Structural Equation Modeling by Todd D. Little

Longitudinal Structural Equation Modeling
  • Title : Longitudinal Structural Equation Modeling
  • Author : Todd D. Little
  • Publisher : Guilford Press
  • ISBN Code : 1462510167
  • Pages : 386
  • Format : Pdf - ePub
  • Language : English
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Summary:

Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (http: //crmda.ku.edu/guilford/little) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).


Handbook of Structural Equation Modeling by Rick H. Hoyle

Handbook of Structural Equation Modeling
  • Title : Handbook of Structural Equation Modeling
  • Author : Rick H. Hoyle
  • Publisher : Guilford Publications
  • ISBN Code : 1462516793
  • Pages : 740
  • Format : Pdf - ePub
  • Language : English
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Summary:

The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, 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.


Essentials of Structural Equation Modeling by Mustafa Emre Civelek

Essentials of Structural Equation Modeling
  • Title : Essentials of Structural Equation Modeling
  • Author : Mustafa Emre Civelek
  • Publisher : Lulu.com
  • ISBN Code : 1609621298
  • Pages : 118
  • Format : Pdf - ePub
  • Language : English
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Summary:

Structural Equation Modeling is a statistical method increasingly used in scientific studies in the fields of Social Sciences. It is currently a preferred analysis method, especially in doctoral dissertations and academic researches. Many universities do not include this method in the curriculum, so students and scholars try to solve these problems using books and internet resources. This book aims to guide the researcher in a way that is free from math expressions. It teaches the steps of a research program using structured equality modeling practically. For students writing theses and scholars preparing academic articles, this book aims to analyze systematically the methodology of studies conducted using structural equation modeling methods in the social sciences. In as simple language as possible, it conveys basic information. It consists of two parts: the first gives basic concepts of structural equation modeling, and the second gives examples of applications.


Longitudinal Structural Equation Modeling with Mplus by Christian Geiser

Longitudinal Structural Equation Modeling with Mplus
  • Title : Longitudinal Structural Equation Modeling with Mplus
  • Author : Christian Geiser
  • Publisher : Guilford Publications
  • ISBN Code : 146254424X
  • Pages : 344
  • Format : Pdf - ePub
  • Language : English
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Summary:

An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples.


Structural Equation Models by J. Christopher Westland

Structural Equation Models
  • Title : Structural Equation Models
  • Author : J. Christopher Westland
  • Publisher : Springer
  • ISBN Code : 3319165070
  • Pages : 175
  • Format : Pdf - ePub
  • Language : English
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Summary:

This compact reference surveys the full range of available structural equation modeling (SEM) methodologies. It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable. This is the first book to present SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that will grow importance in the near future. SEM’s ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.


Using Mplus for Structural Equation Modeling by E. Kevin Kelloway

Using Mplus for Structural Equation Modeling
  • Title : Using Mplus for Structural Equation Modeling
  • Author : E. Kevin Kelloway
  • Publisher : SAGE Publications
  • ISBN Code : 1483324893
  • Pages : 248
  • Format : Pdf - ePub
  • Language : English
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Summary:

Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway’s 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis. ”An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research.” —Kevin J. Grimm, University of California, Davis


Structural Equation Modeling by Jichuan Wang,Xiaoqian Wang

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : Jichuan Wang,Xiaoqian Wang
  • Publisher : John Wiley & Sons
  • ISBN Code : 1119422701
  • Pages : 536
  • Format : Pdf - ePub
  • Language : English
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Summary:

Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA model, item response theory (IRT) model, graded response model (GRM), multiple imputation (MI) of missing values, plausible values of latent variables, moderated mediation model, Bayesian SEM, latent growth modeling (LGM) with individually varying times of observations, dynamic structural equation modeling (DSEM), residual dynamic structural equation modeling (RDSEM), testing measurement invariance of instrument with categorical variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal outcome, manual implementation of the BCH method and the three-step method for mixture modeling, Monte Carlo simulation power analysis for various SEM models, and estimate sample size for latent class analysis (LCA) model. The statistical modeling program Mplus Version 8.2 is featured with all models updated. It provides researchers with a flexible tool that allows them to analyze data with an easy-to-use interface and graphical displays of data and analysis results. Intended as both a teaching resource and a reference guide, and written in non-mathematical terms, Structural Equation Modeling: Applications Using Mplus, 2nd edition provides step-by-step instructions of model specification, estimation, evaluation, and modification. Chapters cover: Confirmatory Factor Analysis (CFA); Structural Equation Models (SEM); SEM for Longitudinal Data; Multi-Group Models; Mixture Models; and Power Analysis and Sample Size Estimate for SEM. Presents a useful reference guide for applications of SEM while systematically demonstrating various advanced SEM models Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes Provides step-by-step instructions of model specification and estimation, as well as detailed interpretation of Mplus results using real data sets Introduces different methods for sample size estimate and statistical power analysis for SEM Structural Equation Modeling is an excellent book for researchers and graduate students of SEM who want to understand the theory and learn how to build their own SEM models using Mplus.


Structural Equation Modeling (SEM) by Larry Rivera

Structural Equation Modeling (SEM)
  • Title : Structural Equation Modeling (SEM)
  • Author : Larry Rivera
  • Publisher :
  • ISBN Code : 9781634828925
  • Pages : 101
  • Format : Pdf - ePub
  • Language : English
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Summary:

Structural equation modeling (SEM) is a general, cross-sectional statistical modeling technique. The chapters in this book propose a Bayesian approach based on SEM; an examination of predictors and outcomes related to school climate using latent class analysis and the testing of specific effects and contrasts in three types of mediation models followed by a discussion on the common types of mediation models and their different types of effects.


Structural Equation Modeling with LISREL by Leslie A. Hayduk

Structural Equation Modeling with LISREL
  • Title : Structural Equation Modeling with LISREL
  • Author : Leslie A. Hayduk
  • Publisher : JHU Press
  • ISBN Code : 9780801834783
  • Pages : 405
  • Format : Pdf - ePub
  • Language : English
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Summary:

This book comprises essays offered by friends, colleagues, and former students in tribute to Andrew Porter, on the occasion of his retirement from the Rhodes Chair in Imperial History at the University of London. The contributors, including many distinguished historians, explore through a variety of case studies 'ambiguities of empire' and of imperial and quasi-imperial relationships, reflecting important themes in Professor Porter's own writing. Whilst the range of articles reflects the breadth of Andrew Porter's scholarly collaborations and interests, the chapters focus in particular on two aspects of imperial history which have been the subject of his particular attention: religion and empire and the end of empire. The book contains original pieces on the history of British imperialism currently the subject of considerable scholarly attention. The book will be invaluable to students and scholars of empire, religion and colonialism. This book was published as a special issue of the Journal of Imperial and Commonwealth History.


Principles and Practice of Structural Equation Modeling by Rex B. Kline

Principles and Practice of Structural Equation Modeling
  • Title : Principles and Practice of Structural Equation Modeling
  • Author : Rex B. Kline
  • Publisher : Guilford Press
  • ISBN Code : 1606238779
  • Pages : 427
  • Format : Pdf - ePub
  • Language : English
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Summary:

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 (please see the book's entry at www.guilford.com ) 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 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.This book is important reading for graduate students, instructors, and researchers in psychology, education, human development and family studies, management, sociology, social work, nursing, public health, criminal justice, and communication. It also serves as a text for graduate-level courses in structural equation modeling, multivariate statistics, advanced quantitative methods, or research methodology.


Partial Least Squares Structural Equation Modeling by Necmi K. Avkiran,Christian M. Ringle

Partial Least Squares Structural Equation Modeling
  • Title : Partial Least Squares Structural Equation Modeling
  • Author : Necmi K. Avkiran,Christian M. Ringle
  • Publisher : Springer
  • ISBN Code : 3319716913
  • Pages : 239
  • Format : Pdf - ePub
  • Language : English
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Summary:

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.


Applied Structural Equation Modeling using AMOS by Joel E. Collier

Applied Structural Equation Modeling using AMOS
  • Title : Applied Structural Equation Modeling using AMOS
  • Author : Joel E. Collier
  • Publisher : Routledge
  • ISBN Code : 1000066312
  • Pages : 354
  • Format : Pdf - ePub
  • Language : English
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Summary:

This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.


Advanced Structural Equation Modeling by George A. Marcoulides,Randall E. Schumacker

Advanced Structural Equation Modeling
  • Title : Advanced Structural Equation Modeling
  • Author : George A. Marcoulides,Randall E. Schumacker
  • Publisher : Psychology Press
  • ISBN Code : 1317843800
  • Pages : 374
  • Format : Pdf - ePub
  • Language : English
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Summary:

By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate level multivariate statistics, including an introduction to SEM.


A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) by Joseph F. Hair

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
  • Title : A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
  • Author : Joseph F. Hair
  • Publisher : SAGE
  • ISBN Code : 1452217440
  • Pages : 307
  • Format : Pdf - ePub
  • Language : English
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Summary:

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), by Hair, Hult, Ringle, and Sarstedt, provides a concise yet very practical guide to understanding and using PLS structural equation modeling (PLS-SEM). PLS-SEM is evolving as a statistical modeling technique and its use has increased exponentially in recent years within a variety of disciplines, due to the recognition that PLS-SEM’s distinctive methodological features make it a viable alternative to the more popular covariance-based SEM approach. This text—the only comprehensive book available to explain the fundamental aspects of the method—includes extensive examples on SmartPLS software, and is accompanied by multiple data sets that are available for download from the accompanying website (www.pls-sem.com).


Structural Equation Modeling by Sik-Yum Lee

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : Sik-Yum Lee
  • Publisher : John Wiley & Sons
  • ISBN Code : 0470024240
  • Pages : 458
  • Format : Pdf - ePub
  • Language : English
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Summary:

***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Structural Equation Modeling introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject’s recent advances. Demonstrates how to utilize powerful statistical computing tools, including the Gibbs sampler, the Metropolis-Hasting algorithm, bridge sampling and path sampling to obtain the Bayesian results. Discusses the Bayes factor and Deviance Information Criterion (DIC) for model comparison. Includes coverage of complex models, including SEMs with ordered categorical variables, and dichotomous variables, nonlinear SEMs, two-level SEMs, multisample SEMs, mixtures of SEMs, SEMs with missing data, SEMs with variables from an exponential family of distributions, and some of their combinations. Illustrates the methodology through simulation studies and examples with real data from business management, education, psychology, public health and sociology. Demonstrates the application of the freely available software WinBUGS via a supplementary website featuring computer code and data sets. Structural Equation Modeling: A Bayesian Approach is a multi-disciplinary text ideal for researchers and students in many areas, including: statistics, biostatistics, business, education, medicine, psychology, public health and social science.


Structural Equation Modeling Using Amos Graphic by Zainudin Awang

Structural Equation Modeling Using Amos Graphic
  • Title : Structural Equation Modeling Using Amos Graphic
  • Author : Zainudin Awang
  • Publisher :
  • ISBN Code : 9789673634187
  • Pages : 167
  • Format : Pdf - ePub
  • Language : English
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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos by Niels Blunch

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
  • Title : Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
  • Author : Niels Blunch
  • Publisher : SAGE
  • ISBN Code : 1446271846
  • Pages : 312
  • Format : Pdf - ePub
  • Language : English
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Summary:

This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark


Basic Principles of Structural Equation Modeling by Ralph O. Mueller

Basic Principles of Structural Equation Modeling
  • Title : Basic Principles of Structural Equation Modeling
  • Author : Ralph O. Mueller
  • Publisher : Springer Science & Business Media
  • ISBN Code : 9780387945163
  • Pages : 232
  • Format : Pdf - ePub
  • Language : English
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Summary:

During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research.


Principles and Practice of Structural Equation Modeling, Second Edition by Rex B. Kline

Principles and Practice of Structural Equation Modeling, Second Edition
  • Title : Principles and Practice of Structural Equation Modeling, Second Edition
  • Author : Rex B. Kline
  • Publisher : Guilford Press
  • ISBN Code : 9781593850753
  • Pages : 366
  • Format : Pdf - ePub
  • Language : English
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Composite-Based Structural Equation Modeling by Jörg Henseler

Composite-Based Structural Equation Modeling
  • Title : Composite-Based Structural Equation Modeling
  • Author : Jörg Henseler
  • Publisher : Guilford Publications
  • ISBN Code : 1462545602
  • Pages : 362
  • Format : Pdf - ePub
  • Language : English
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Summary:

"Structural equation modeling (SEM) has become an important element of the methodological toolbox of researchers in social and business science. Why another book on SEM? The answer is simple, but also somewhat surprising: They miss a valuable capability of SEM, namely the possibility to model, estimate, and test composite models. The present book rethinks SEM with regard to the employed auxiliary theory and lays the focus on composites. On the one hand, this book provides a full-fledged introduction to SEM, and covers all basic steps: model specification, model identification, model estimation, and model testing and assessment. On the other hand, it is a valuable reference for readers who have already a background in using SEM for factor models and who would like to learn more about the use of SEM for composite model. Finally, the book covers advanced topics that are useful for all analysts, for instance moderating effects, mediating effects, and higher-order constructs. Experienced users will find useful details, extensions, and clarifications"--


Structural Equation Modeling by Bruce H. Pugesek,Adrian Tomer,Alexander von Eye

Structural Equation Modeling
  • Title : Structural Equation Modeling
  • Author : Bruce H. Pugesek,Adrian Tomer,Alexander von Eye
  • Publisher : Cambridge University Press
  • ISBN Code : 9781139435390
  • Pages : N.A
  • Format : Pdf - ePub
  • Language : English
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Summary:

Structural equation modelling (SEM) is a technique that is used to estimate, analyse and test models that specify relationships among variables. The ability to conduct such analyses is essential for many problems in ecology and evolutionary biology. This book begins by explaining the theory behind the statistical methodology, including chapters on conceptual issues, the implementation of an SEM study and the history of the development of SEM. The second section provides examples of analyses on biological data including multi-group models, means models, P-technique and time-series. The final section of the book deals with computer applications and contrasts three popular SEM software packages. Aimed specifically at biological researchers and graduate students, this book will serve as valuable resource for both learning and teaching the SEM methodology. Moreover, data sets and programs that are presented in the book can also be downloaded from a website to assist the learning process.


Structural Equation Modeling Approaches to E-Service Adoption by Yakup Akgul

Structural Equation Modeling Approaches to E-Service Adoption
  • Title : Structural Equation Modeling Approaches to E-Service Adoption
  • Author : Yakup Akgul
  • Publisher :
  • ISBN Code : 9781522580157
  • Pages : 300
  • Format : Pdf - ePub
  • Language : English
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Summary:

"This book provides the latest empirical research findings pertaining to technology acceptance, information systems, information technology, human computer interaction, and management information systems"--


Structural Equation Modeling With EQS by Barbara M. Byrne

Structural Equation Modeling With EQS
  • Title : Structural Equation Modeling With EQS
  • Author : Barbara M. Byrne
  • Publisher : Routledge
  • ISBN Code : 1135809607
  • Pages : 454
  • Format : Pdf - ePub
  • Language : English
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Summary:

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; 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.