Application of Structural Equation Modeling in Educational Research and Practice

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Publisher : Springer Science & Business Media
ISBN 13 : 9462093326
Total Pages : 284 pages
Book Rating : 4.4/5 (62 download)

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Book Synopsis Application of Structural Equation Modeling in Educational Research and Practice by : Myint Swe Khine

Download or read book Application of Structural Equation Modeling in Educational Research and Practice written by Myint Swe Khine and published by Springer Science & Business Media. This book was released on 2013-10-30 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.

Structural Equation Modeling in Educational Research

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Publisher : BRILL
ISBN 13 : 9087907893
Total Pages : 387 pages
Book Rating : 4.0/5 (879 download)

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Book Synopsis Structural Equation Modeling in Educational Research by :

Download or read book Structural Equation Modeling in Educational Research written by and published by BRILL. This book was released on 2009-01-01 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the years, researchers have developed statistical methods to help them investigate and interpret issues of interest in many discipline areas. These methods range from descriptive to inferential to multivariate statistics. As the psychometrics measures in education become more complex, vigorous and robust methods were needed in order to represent research data efficiently. One such method is Structural Equation Modeling (SEM). SEM is a statistical technique that allows the simultaneous analysis of a series of structural equations. It also allows a dependent variable in one equation to become an independent variable in another equation. It is a comprehensive statistical approach to testing hypotheses about relations among observed and latent variables. SEM is commonly known as causal modeling, or path analysis, which hypothesizes causal relationships among variables and tests the causal models with a linear equation system. As educational research questions become more complex, they need to be evaluated with more sophisticated tools. The pervasive use of SEM in the literature has shown that SEM has a potential to be of assistance to modern educational researchers. This book will bring together prominent educators and researchers from around the world to share their contemporary research on structural equation modeling in educational settings. The chapters provide information on recent trends and developments and effective applications of the different models to answer various educational research questions. This book is a critical and specialized source that describes recent advances in SEM in international academia.

Principles and Practice of Structural Equation Modeling

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Publisher : Guilford Publications
ISBN 13 : 1462523005
Total Pages : 554 pages
Book Rating : 4.4/5 (625 download)

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

Download or read book Principles and Practice of Structural Equation Modeling written by Rex B. Kline and published by Guilford Publications. This book was released on 2015-10-08 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.

Structural Equation Modeling With AMOS

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Publisher : Psychology Press
ISBN 13 : 1135667683
Total Pages : 348 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Structural Equation Modeling With AMOS by : Barbara M. Byrne

Download or read book Structural Equation Modeling With AMOS written by Barbara M. Byrne and published by Psychology Press. This book was released on 2001-04 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and appli.

Structural Equation Modeling in Educational Research

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Publisher : Sense Pub
ISBN 13 : 9789087907884
Total Pages : 416 pages
Book Rating : 4.9/5 (78 download)

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Book Synopsis Structural Equation Modeling in Educational Research by : Timothy Teo

Download or read book Structural Equation Modeling in Educational Research written by Timothy Teo and published by Sense Pub. This book was released on 2009 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the years, researchers have developed statistical methods to help them investigate and interpret issues of interest in many discipline areas. These methods range from descriptive to inferential to multivariate statistics. As the psychometrics measures in education become more complex, vigorous and robust methods were needed in order to represent research data efficiently. One such method is Structural Equation Modeling (SEM). SEM is a statistical technique that allows the simultaneous analysis of a series of structural equations. It also allows a dependent variable in one equation to become an independent variable in another equation. It is a comprehensive statistical approach to testing hypotheses about relations among observed and latent variables. SEM is commonly known as causal modeling, or path analysis, which hypothesizes causal relationships among variables and tests the causal models with a linear equation system. As educational research questions become more complex, they need to be evaluated with more sophisticated tools. The pervasive use of SEM in the literature has shown that SEM has a potential to be of assistance to modern educational researchers. This book will bring together prominent educators and researchers from around the world to share their contemporary research on structural equation modeling in educational settings. The chapters provide information on recent trends and developments and effective applications of the different models to answer various educational research questions. This book is a critical and specialized source that describes recent advances in SEM in international academia.

Structural Equation Modelling

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Publisher :
ISBN 13 : 9789811537943
Total Pages : 132 pages
Book Rating : 4.5/5 (379 download)

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Book Synopsis Structural Equation Modelling by : Jitesh J. Thakkar

Download or read book Structural Equation Modelling written by Jitesh J. Thakkar and published by . This book was released on 2020 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across disciplines understand how to test or validate theoretical models, and build relationships between observed variables. In addition to a providing a background understanding of the concepts, it provides step-by-step illustrative applications with AMOS, SPSS and R software programmes. This volume will serve as a useful reference for academic and industry researchers in the fields of engineering, management, psychology, sociology, human resources, and humanities.

Structural Equation Modeling

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Publisher : IAP
ISBN 13 : 1623962463
Total Pages : 702 pages
Book Rating : 4.6/5 (239 download)

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Book Synopsis Structural Equation Modeling by : Gregory R. Hancock

Download or read book Structural Equation Modeling written by Gregory R. Hancock and published by IAP. This book was released on 2013-03-01 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 highly-successful 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 didactically-oriented 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.

Structural Equation Modeling With AMOS

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Publisher : Routledge
ISBN 13 : 131763313X
Total Pages : 460 pages
Book Rating : 4.3/5 (176 download)

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Book Synopsis Structural Equation Modeling With AMOS by : Barbara M. Byrne

Download or read book Structural Equation Modeling With AMOS written by Barbara M. Byrne and published by Routledge. This book was released on 2016-06-10 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter "walks" readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. Accompanying each application is: an explanation of the issues addressed and a schematic presentation of hypothesized model structure; Amos input and output with interpretations; use of the Amos toolbar icons and pull-down menus; and data upon which the model application was based, together with updated references pertinent to the SEM model tested. Thoroughly updated throughout, the new edition features: All new screen shots featuring Amos Version 23. Descriptions and illustrations of Amos’ new Tables View format which enables the specification of a structural model in spreadsheet form. Key concepts and/or techniques that introduce each chapter. Alternative approaches to model analyses when enabled by Amos thereby allowing users to determine the method best suited to their data. Provides analysis of the same model based on continuous and categorical data (Ch. 5) thereby enabling readers to observe two ways of specifying and testing the same model as well as compare results. All applications based on the Amos graphical mode interface accompanied by more "how to" coverage of graphical techniques unique to Amos. More explanation of key procedures and analyses that address questions posed by readers All application data files are available at www.routledge.com/9781138797031. The two introductory chapters in Section 1 review the fundamental concepts of SEM methodology and a general overview of the Amos program. Section 2 provides single-group analyses applications including two first-order confirmatory factor analytic (CFA) models, one second-order CFA model, and one full latent variable model. Section 3 presents multiple-group analyses applications with two rooted in the analysis of covariance structures and one in the analysis of mean and covariance structures. Two models that are increasingly popular with SEM practitioners, construct validity and testing change over time using the latent growth curve, are presented in Section 4. The book concludes with a review of the use of bootstrapping to address non-normal data and a review of missing (or incomplete) data in Section 5. An ideal supplement for graduate level courses in psychology, education, business, and social and health sciences that cover the fundamentals of SEM with a focus on Amos, this practical text continues to be a favorite of both researchers and practitioners. A prerequisite of basic statistics through regression analysis is recommended but no exposure to either SEM or Amos is required.

Basics of Structural Equation Modeling

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Publisher : SAGE Publications
ISBN 13 : 150632035X
Total Pages : 328 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Basics of Structural Equation Modeling by : Geoffrey M. Maruyama

Download or read book Basics of Structural Equation Modeling written by Geoffrey M. Maruyama and published by SAGE Publications. This book was released on 1997-09-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.

Handbook of Structural Equation Modeling

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Publisher : Guilford Publications
ISBN 13 : 1462544649
Total Pages : 801 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Handbook of Structural Equation Modeling by : Rick H. Hoyle

Download or read book Handbook of Structural Equation Modeling written by Rick H. Hoyle and published by Guilford Publications. This book was released on 2023-02-17 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Structural Equation Modeling with Mplus

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Publisher : Routledge
ISBN 13 : 1136663460
Total Pages : 431 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Structural Equation Modeling with Mplus by : Barbara M. Byrne

Download or read book Structural Equation Modeling with Mplus written by Barbara M. Byrne and published by Routledge. This book was released on 2013-06-17 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 under "Supplementary Material" below 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.

Structural Modeling by Example

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Publisher :
ISBN 13 : 9780511869129
Total Pages : 336 pages
Book Rating : 4.8/5 (691 download)

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Book Synopsis Structural Modeling by Example by : Peter Cuttance

Download or read book Structural Modeling by Example written by Peter Cuttance and published by . This book was released on 1988 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Modelling by Example offers a comprehensive overview of the application of structural equation models in the social and behavioral sciences and in educational research. It is devoted in nearly equal proportions to substantive issues and to methodological ones. The substantive section comprises case studies of the use of these models in a number of disciplines. The authors emphasize the reasons for modelling by these methods, the processes involved in defining the model, and the interpretation of the results. The methodological section comprises investigations of the behavior of structural equation modelling methods under a number of conditions. The aim is to clarify the situations in which these methods can usefully be applied and the interpretations that can be made. All researchers with a basic understanding of regression and factor analysis will find this book to be an invaluable resource as they seek to evaluate the possibilities of these new approaches for their own data.

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

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Author :
Publisher : Springer Nature
ISBN 13 : 3030805190
Total Pages : 208 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R by : Joseph F. Hair Jr.

Download or read book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R written by Joseph F. Hair Jr. and published by Springer Nature. This book was released on 2021-11-03 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

Structural Equation Modeling

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Publisher : SAGE Publications
ISBN 13 : 148334259X
Total Pages : 306 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Structural Equation Modeling by : David Kaplan

Download or read book Structural Equation Modeling written by David Kaplan and published by SAGE Publications. This book was released on 2008-07-23 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Best Practices in Quantitative Methods

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Publisher : SAGE
ISBN 13 : 1412940656
Total Pages : 609 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Best Practices in Quantitative Methods by : Jason W. Osborne

Download or read book Best Practices in Quantitative Methods written by Jason W. Osborne and published by SAGE. This book was released on 2008 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

The Palgrave Handbook of Research Design in Business and Management

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Publisher : Palgrave Macmillan
ISBN 13 : 9781349479061
Total Pages : 0 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis The Palgrave Handbook of Research Design in Business and Management by : K. Strang

Download or read book The Palgrave Handbook of Research Design in Business and Management written by K. Strang and published by Palgrave Macmillan. This book was released on 2015-11-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Palgrave Handbook of Research Design in Business and Management uses a new state-of-the-art research design typology model to guide researchers in creating the blueprints for their experiments. By focusing on theory and cutting-edge empirical best-practices, this handbook utilizes visual techniques to appease all learning styles.

Quality Research in Literacy and Science Education

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Publisher : Springer Science & Business Media
ISBN 13 : 1402084277
Total Pages : 667 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Quality Research in Literacy and Science Education by : Mack C. Shelley

Download or read book Quality Research in Literacy and Science Education written by Mack C. Shelley and published by Springer Science & Business Media. This book was released on 2008-12-30 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.