Author: Peter M. Bentler
Publisher:
ISBN:
Category : EQS (Computer file)
Languages : en
Pages : 286

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Book Description

Author: Rick H. Hoyle
Publisher: Guilford Publications
ISBN: 1462544649
Category : Business & Economics
Languages : en
Pages : 801

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Book Description
"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"--

Author: Stanley A. Mulaik
Publisher: CRC Press
ISBN: 1439800391
Category : Mathematics
Languages : en
Pages : 470

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Book Description
Emphasizing causation as a functional relationship between variables, this book provides comprehensive coverage on the basics of SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models. The author discusses the history and philosophy of causality and its place in science and presents graph theory as a tool for the design and analysis of causal models. He explains how the algorithms in SEM are derived and how they work, covers various indices and tests for evaluating the fit of structural equation models to data, and explores recent research in graph theory, path tracing rules, and model evaluation.

Author: Randall E. Schumacker
Publisher: Psychology Press
ISBN: 1135641927
Category : Mathematics
Languages : en
Pages : 494

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Book Description
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.

Author: Barbara M. Byrne
Publisher: Taylor & Francis
ISBN: 0805833226
Category : AMOS.
Languages : en
Pages : 349

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Book Description
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 applications of structural equation modeling; 2) demonstrating basic applications of SEM using AMOS 4.0; and 3) highlighting features of AMOS 4.0 that address important caveats related to SEM analyses. Written in a "user-friendly" style, the author "walks" the reader through 10 SEM applications from model specification to estimation to the assessment and interpretation of the output. Each of the book's applications is accompanied by: a statement of the hypothesis being tested; a schematic representation of the model under study; the use and function of a wide variety of icons and pull-down menus; a full explanation of related AMOS Graphic input models and output files; a model input file based on AMOS BASIC; and the published reference from which each application was drawn.

Author: Tenko Raykov
Publisher: Routledge
ISBN: 1135600759
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software. Highlights of the Second Edition include: • Review of latent change (growth) analysis models at an introductory level • Coverage of the popular Mplus program • Updated examples of LISREL and EQS • Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples. A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.

Author: George A. Marcoulides
Publisher: Psychology Press
ISBN: 1317778553
Category : Psychology
Languages : en
Pages : 335

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Book Description
Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples--drawing on SAS software --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.

Author: John C. Loehlin
Publisher: Routledge
ISBN: 1317285271
Category : Psychology
Languages : en
Pages : 367

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Book Description
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models. This approach helps less mathematically-inclined readers to grasp the underlying relations among path analysis, factor analysis, and structural equation modeling, and to set up and carry out such analyses. This revised and expanded fifth edition again contains key chapters on path analysis, structural equation models, and exploratory factor analysis. In addition, it contains new material on composite reliability, models with categorical data, the minimum average partial procedure, bi-factor models, and communicating about latent variable models. The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds. Notes at the end of each chapter expand the discussion and provide additional technical detail and references. Moreover, most chapters contain an extended example in which the authors work through one of the chapter’s examples in detail to aid readers in conducting similar analyses with their own data. The book and accompanying website provide all of the data for the book’s examples as well as syntax from latent variable programs so readers can replicate the analyses. The book can be used with any of a variety of computer programs, but special attention is paid to LISREL and R. An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences, education, business, and health sciences, Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables.

Author: Norm O'Rourke, Ph.D., R.Psych.
Publisher: SAS Institute
ISBN: 1629592447
Category : Computers
Languages : en
Pages : 428

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Book Description
This easy-to-understand guide makes SEM accessible to all users. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.

Author: John A. Schinka
Publisher: Routledge
ISBN: 1134806337
Category : Psychology
Languages : en
Pages : 414

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Book Description
This book constitutes a collection of articles that were written for, and recently published as, special sections in three consecutive issues of the Journal of Personality Assessment. Part I provides lucid commentaries on the current status of and future issues regarding the Rorschach and MMPI-2 and other instruments, including the Minnesota Multiphasic Personality Inventory -- Adolescent (MMPI-A), the Interpersonal Adjective Scales (IAS-R), the Inventory of Interpersonal Problems -- Circumplex version (IIP-C), the revised NEO Personality Inventory (NEO-PI-R), and the third edition of the Millon Clinical Multiaxial Inventory (MCMI-III). The authors not only participated in the dvelopment of the instruments, but continue to lead the research effort in their application in both clinical and research settings. Part II addresses several issues that have been recurring themes, and often topics of debate, in the research and professional literature. The contributors discuss the impact of the five-factor model on personality assessment, the issue of deception in personality assessment, and various critical issues in the measurement of mood states. Other articles focus on the integration of the MMPI-2 and Rorschach and the process that clinicians should follow when applying scientific knowledge to clinical practice. Part III is primarily devoted to overviews of several statistical methods that are employed infrequently in personality assessment research, but have great potential in contributing to the understanding of the complex data sets often encountered in the measurement and study of personality. These articles serve as both an introduction and a brief tutorial for personality researchers who are unfamiliar with the subject matter. They are valuable references that will form the basis for evaluating the appropriate use of these methods in published research in their areas of interest.