A Beginner s Guide to Structural Equation Modeling

A Beginner s Guide to Structural Equation Modeling

The book first reviews the basics of SEM, data entry/editing, and correlation.

Author: Randall E. Schumacker

Publisher: Routledge

ISBN: 9781136968556

Category: Psychology

Page: 530

View: 788

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.
Categories: Psychology

A Beginner s Guide to Structural Equation Modeling

A Beginner s Guide to Structural Equation Modeling

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.

Author: Randall E. Schumacker

Publisher: Psychology Press

ISBN: 9781135641917

Category: Psychology

Page: 304

View: 305

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.
Categories: Psychology

A Beginner s Guide to Structural Equation Modeling

A Beginner s Guide to Structural Equation Modeling

Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM).

Author: Randall E. Schumacker

Publisher: Routledge

ISBN: 9781317608097

Category: Psychology

Page: 372

View: 99

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.
Categories: Psychology

A First Course in Structural Equation Modeling

A First Course in Structural Equation Modeling

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.

Author: Tenko Raykov

Publisher: Routledge

ISBN: 9781135600754

Category: Business & Economics

Page: 248

View: 244

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 • A CD 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.
Categories: Business & Economics

Structural Equation Modeling with Mplus

Structural Equation Modeling with Mplus

Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6.

Author: Barbara M. Byrne

Publisher: Routledge

ISBN: 9781136663451

Category: Psychology

Page: 432

View: 501

Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.
Categories: Psychology

Structural Equation Modeling With AMOS

Structural Equation Modeling With AMOS

This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research.

Author: Barbara M. Byrne

Publisher: Routledge

ISBN: 9781136648762

Category: Education

Page: 416

View: 917

This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research. Noted for its non-mathematical language, this book is written for the novice SEM user. With each chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed an illustration of the hypothesized and posthoc models tested AMOS input and output with accompanying interpretation and explanation The function of the AMOS toolbar icons and their related pull-down menus The data and published reference upon which the model was based. With over 50% new material, highlights of the new edition include: All new screen shots featuring Version 17 of the AMOS program All data files now available at www.psypress.com/sem-with-amos Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data All applications based on the most commonly used graphical interface The automated multi-group approach to testing for equivalence The book opens with an introduction to the fundamental concepts of SEM and the basics of the AMOS program. The next 3 sections present applications that focus on single-group, multiple-group, and multitrait-mutimethod and latent growth curve models. The book concludes with a discussion about non-normal and missing (incomplete) data and two applications capable of addressing these issues. Intended for researchers, practitioners, and students who use SEM and AMOS in their work, this book is an ideal resource for graduate level courses on SEM taught in departments of psychology, education, business, and other social and health sciences and/or as a supplement in courses on applied statistics, multivariate statistics, statistics II, intermediate or advanced statistics, and/or research design. Appropriate for those with limited or no previous exposure to SEM, a prerequisite of basic statistics through regression analysis is recommended.
Categories: Education

Research Quarterly for Exercise and Sport

Research Quarterly for Exercise and Sport

General longitudinal modeling of individual differences in experimental designs :
A latent variable framework for analysis and power ... Structural Equation
Modeling , 7 , 557 – 595 . ... A beginner ' s guide to structural equation modeling .

Author:

Publisher:

ISBN: UCLA:L0090293358

Category: Physical education and training

Page:

View: 761

Categories: Physical education and training

Using R With Multivariate Statistics

Using R With Multivariate Statistics

Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R ...

Author: Randall E. Schumacker

Publisher: SAGE Publications

ISBN: 9781483377971

Category: Social Science

Page: 408

View: 340

Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.
Categories: Social Science

Journal of College Student Development

Journal of College Student Development

In J . Smart ( Ed . ) , Higher Education : Handbook of Theory and Research ( Vol .
1 ) . New York : Agathon . Pascarella , E . T . ... A beginner ' s guide to structural
equation modeling ( 2nd Ed ) . Mahwah , NJ : Lawrence Erlbaum . Sideridis , G ...

Author:

Publisher:

ISBN: UOM:39015057959929

Category: College student development programs

Page:

View: 189

Categories: College student development programs

Applied Structural Equation Modeling using AMOS

Applied Structural Equation Modeling using AMOS

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.

Author: Joel E. Collier

Publisher: Routledge

ISBN: 9781000066319

Category: Psychology

Page: 354

View: 105

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.
Categories: Psychology

The Academic Achievement of Minority Students

The Academic Achievement of Minority Students

In B . Bracken ( Ed . ) , Handbook of self - concept : Developmental , social , and
clinical considerations ( pp . 38 - 89 ) . ... Causal effects of academic selfconcept
on academic achievement : Structural equation models of longitudinal data .
Journal of ... A beginner ' s guide to structural equation modeling . Mahwah , NJ ...

Author: Sheila T. Gregory

Publisher: University Press of Amer

ISBN: UOM:39015048538139

Category: Education

Page: 519

View: 381

Throughout the world, students of color experience failure in school for a variety of very complex reasons. They often do not receive the proper encouragement from teachers, they may lack the motivation necessary to excel in an academic environment, they usually face a number of demographic, socioeconomic and cultural factors that work against them, or their academic performance may not be measured properly. With contributions from scholars living in the U.S. and abroad, The Academic Achievement of Minority Students is a comprehensive work that provides fresh insights and practical strategies for addressing these problems in order to enhance minority student performance in school. The papers in this volume collectively cover the many issues affecting minority students from kindergarten through post-secondary education including the instructional and nonacademic factors that promote achievement or lead to attrition. Most importantly, the authors offer valuable prescriptions for advancing the learning opportunities of all students in the future.
Categories: Education

Uprooting Children

Uprooting Children

A beginner ' s guide to structural equation modeling . Mahwah , New Jersey :
Lawrence Erlbaum Associates . Scott , L . , D . Rock , J . Pollack , and S . Ingels .
1995 . Two years later : Cognitive gains and school transitions of NELS : 88
eighth ...

Author: Robert Ketner Ream

Publisher: Lfb Scholarly Pub Llc

ISBN: UTEXAS:059173015499886

Category: Social Science

Page: 252

View: 480

A critical issue facing U.S. schools is the persistent disparity in achievement between racial/ethnic groups. The achievement gap is particularly pronounced for Mexican-Americans. By employing mixed-methods research techniques, Ream links emergent literature on social capital with research on student mobility to investigate student performance among Mexican-American and non-Latino White adolescents. Findings underscore the prevalence of student mobility, particularly among Mexican-origin youth, and its impingement on both the availability and convertibility of the resources embedded in their social networks. Results also suggest that minority and non-minority students fortify social ties in different ways, and that these differences have implications for the educational utility of social capital.
Categories: Social Science

New Zealand Journal of Psychology

New Zealand Journal of Psychology

An Appraisal - Coping Model of Occupational Stress Outcomes : Distress and
Eustress . ... In J . C . Quick & L . Tetrick ( Eds . ) , Handbook of Occupational
Health Psychology ( pp . ... A Beginners Guide to Structural Equation Modelling .

Author:

Publisher:

ISBN: STANFORD:36105123030426

Category: Psychology

Page:

View: 916

Categories: Psychology

Journal of Crime Justice

Journal of Crime   Justice

A beginner ' s guide to structural equation modeling . Mahwah , NJ : Lawrence
Earlbaum Associates , Publishers . Walsh , A . & Ellis , L . ( 1999 ) . Political
ideology and American criminologists ' explanations for criminal behavior .

Author:

Publisher:

ISBN: IND:30000107215703

Category: Crime

Page:

View: 966

Categories: Crime

Something from Almost Nothing

 Something from Almost Nothing

Cambridge , MA : MIT Press . Kuhl , P . K . ( 1993 ) . Developmental speech
perception : Implications for models of language impairment . ... A beginner ' s
guide to Structural Equation Modeling . Mahwah , NJ : Lawrence . Silvén , M . (
1994 ) .

Author: Maarit Silvén

Publisher:

ISBN: STANFORD:36105112189035

Category: Finnish language

Page: 170

View: 696

Categories: Finnish language

Learning Statistics Using R

Learning Statistics Using R

Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific ...

Author: Randall E. Schumacker

Publisher: SAGE Publications

ISBN: 9781483324777

Category: Social Science

Page: 648

View: 159

Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Lecturers - contact your local SAGE representative to discuss your course needs or to request an inspection copy. Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers′ understanding of statistics through statistical computing and modeling.
Categories: Social Science

Journal of Vocational Behavior

Journal of Vocational Behavior

Minnesota occupational rating scales and counseling profile . Chicago : Science
Research Associates . Schumacker , R . E . , & Lomax , R . G . ( 1996 ) . A
beginner ' s guide to structural equation modeling . Mahwah , NJ : Erlbaum .
Strong , E ...

Author:

Publisher:

ISBN: 00018791

Category: Vocational guidance

Page:

View: 157

Categories: Vocational guidance

The Sport Psychologist

The Sport Psychologist

LISREL 8 : Structural equation modeling with the SIMPLIS command language .
Chicago ... Using LISREL for structural equation modeling : A researcher ' s guide
. Thousand ... Beginner ' s guide to structural equation modeling . Mahwah , NJ ...

Author:

Publisher:

ISBN: UOM:39015073094677

Category: Sports

Page:

View: 708

Categories: Sports

Research in the Schools

Research in the Schools

A beginner ' s guide to structural equation modeling . Mahwah , New Jersey :
Lawrence Erlbaum Associates . Tashakkori , A . , & Teddlie , C . ( 2003 ) . The
past and future of mixed methods research : From data triangulation to mixed
model ...

Author:

Publisher:

ISBN: UVA:X006176861

Category: Education

Page:

View: 151

Categories: Education

Cost of Suburbanization

Cost of Suburbanization

Schelling , T. C. ( 1971 ) . " Dynamic Models of Segregation . " Journal of
Mathematical Sociology 1 : 143-186 . Schumacher , R. E. and R. G. Lomax ( 2004
) . A Beginners Guide to Structural Equation Modeling , Second Edition . Mahwah
, New ...

Author: Jennifer Eve Day

Publisher:

ISBN: UCAL:C3511560

Category:

Page: 776

View: 225

Categories: