Structural Equation Modeling In Educational Research

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Application of Structural Equation Modeling in Educational Research and Practice

Myint Swe Khine
Application of Structural Equation Modeling in Educational Research and Practice Book PDF

Author : Myint Swe Khine
Publisher : Springer Science & Business Media
Page : 291 pages
File Size : 55,5 Mb
Release : 2013-10-30
Category : Education
ISBN : 9789462093324

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Application of Structural Equation Modeling in Educational Research and Practice by Myint Swe Khine Pdf

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

Anonim
Structural Equation Modeling in Educational Research Book PDF

Author : Anonim
Publisher : BRILL
Page : 387 pages
File Size : 40,5 Mb
Release : 2009-01-01
Category : Education
ISBN : 9789087907891

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Structural Equation Modeling in Educational Research by Anonim Pdf

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 Modeling

Gregory R. Hancock,Ralph O. Mueller
Structural Equation Modeling Book PDF

Author : Gregory R. Hancock,Ralph O. Mueller
Publisher : IAP
Page : 703 pages
File Size : 47,9 Mb
Release : 2013-03-01
Category : Education
ISBN : 9781623962463

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

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.

Essentials of Structural Equation Modeling

Mustafa Emre Civelek
Essentials of Structural Equation Modeling Book PDF

Author : Mustafa Emre Civelek
Publisher : Lulu.com
Page : 120 pages
File Size : 44,5 Mb
Release : 2018-03-12
Category : Reference
ISBN : 9781609621292

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Essentials of Structural Equation Modeling by Mustafa Emre Civelek Pdf

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. However, since many universities do not include this method in the curriculum of undergraduate and graduate courses, students and scholars try to solve the problems they encounter by using various books and internet resources. This book aims to guide the researcher who wants to use this method 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 scientific studies conducted using structural equation modeling methods in the social sciences. This book is prepared in as simple language as possible so as to convey basic information. It consists of two parts: the first gives basic concepts of structural equation modeling, and the second gives examples of applications.

Basic Principles of Structural Equation Modeling

Ralph O. Mueller
Basic Principles of Structural Equation Modeling Book PDF

Author : Ralph O. Mueller
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 51,8 Mb
Release : 2012-12-06
Category : Social Science
ISBN : 9781461239741

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Basic Principles of Structural Equation Modeling by Ralph O. Mueller Pdf

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

Rex B. Kline
Principles and Practice of Structural Equation Modeling Book PDF

Author : Rex B. Kline
Publisher : Guilford Publications
Page : 554 pages
File Size : 41,9 Mb
Release : 2015-10-08
Category : Social Science
ISBN : 9781462523009

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

This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.

A Beginner's Guide to Structural Equation Modeling

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

Author : Randall E. Schumacker,Richard G. Lomax
Publisher : Psychology Press
Page : 590 pages
File Size : 47,6 Mb
Release : 2004-06-24
Category : Psychology
ISBN : 9781135641917

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

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.

Advances in Multilevel Modeling for Educational Research

Jeffrey R. Harring,Laura M. Stapleton,S. Natasha Beretvas
Advances in Multilevel Modeling for Educational Research Book PDF

Author : Jeffrey R. Harring,Laura M. Stapleton,S. Natasha Beretvas
Publisher : IAP
Page : 389 pages
File Size : 48,5 Mb
Release : 2015-12-01
Category : Education
ISBN : 9781681233291

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Advances in Multilevel Modeling for Educational Research by Jeffrey R. Harring,Laura M. Stapleton,S. Natasha Beretvas Pdf

The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming from complex sampling designs and understand relations within and between variables describing the hierarchical levels of these nested data structures. Simply scan the applied literature and one can see evidence of this trend by noticing the number of articles adopting multilevel models as their primary modeling framework. Helping to drive the popularity of their use, governmental funding agencies continue to advocate the use of multilevel models as part of a comprehensive analytic strategy for conducting rigorous and relevant research to improve our nation’s education system. Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real?World Applications is a resource intended for advanced graduate students, faculty and/or researchers interested in multilevel data analysis, especially in education, social and behavioral sciences. The chapters are written by prominent methodological researchers across diverse research domains such as educational statistics, quantitative psychology, and psychometrics. Each chapter exposes the reader to some of the latest methodological innovations, refinements and state?of?the?art developments and perspectives in the analysis of multilevel data including current best practices of standard techniques. We believe this volume will be particularly appealing to researchers in domains including but not limited to: educational policy and administration, educational psychology including school psychology and special education, and clinical psychology. In fact, we believe this volume will be a desirable resource for any research area that uses hierarchically nested data. The book will likely be attractive to applied and methodological researchers in several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Educational Effectiveness (SREE), and other related organizations.

Applied Structural Equation Modelling for Researchers and Practitioners

Indranarain Ramlall
Applied Structural Equation Modelling for Researchers and Practitioners Book PDF

Author : Indranarain Ramlall
Publisher : Emerald Group Publishing
Page : 152 pages
File Size : 52,5 Mb
Release : 2016-12-16
Category : Education
ISBN : 9781786358820

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Applied Structural Equation Modelling for Researchers and Practitioners by Indranarain Ramlall Pdf

This book explains in a rigorous, concise and practical manner all the vital components embedded in structural equation modelling. Focusing on R and stata to implement and perform various structural equation models.

Meta-Analysis

Mike W.-L. Cheung
Meta Analysis Book PDF

Author : Mike W.-L. Cheung
Publisher : John Wiley & Sons
Page : 401 pages
File Size : 43,8 Mb
Release : 2015-05-06
Category : Mathematics
ISBN : 9781119993438

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Meta-Analysis by Mike W.-L. Cheung Pdf

Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.

A Beginner's Guide to Structural Equation Modeling

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

Author : Randall E. Schumacker,Richard G. Lomax
Publisher : Routledge
Page : 531 pages
File Size : 47,6 Mb
Release : 2012-10-12
Category : Psychology
ISBN : 9781136968563

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

This textbook presents a basic introduction to structural equation modeling (SEM) and focuses on the conceptual steps to be taken in analysing conceptual models.

Structural Equation Modeling With AMOS

Barbara M. Byrne
Structural Equation Modeling With AMOS Book PDF

Author : Barbara M. Byrne
Publisher : Psychology Press
Page : 348 pages
File Size : 53,9 Mb
Release : 2001-04
Category : Psychology
ISBN : 9781135667689

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Structural Equation Modeling With AMOS by Barbara M. Byrne Pdf

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.

Principles and Practice of Structural Equation Modeling, Fourth Edition

Rex B. Kline
Principles and Practice of Structural Equation Modeling Fourth Edition Book PDF

Author : Rex B. Kline
Publisher : Guilford Publications
Page : 553 pages
File Size : 51,7 Mb
Release : 2015-11-03
Category : Social Science
ISBN : 9781462523351

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

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.

Interaction and Nonlinear Effects in Structural Equation Modeling

Randall E. Schumacker,George A. Marcoulides
Interaction and Nonlinear Effects in Structural Equation Modeling Book PDF

Author : Randall E. Schumacker,George A. Marcoulides
Publisher : Routledge
Page : 276 pages
File Size : 44,9 Mb
Release : 2017-07-05
Category : Psychology
ISBN : 9781351562638

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Interaction and Nonlinear Effects in Structural Equation Modeling by Randall E. Schumacker,George A. Marcoulides Pdf

This volume provides a comprehensive presentation of the various procedures currently available for testing interaction and nonlinear effects in structural equation modeling. By focusing on various software applications, the reader should quickly be able to incorporate one of the procedures into testing interaction or nonlinear effects in their own model. Although every attempt is made to keep mathematical details to a minimum, it is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course which includes adequate coverage of structural equation modeling. This book will be of interest to researchers and practitioners in education and the social sciences.

Handbook of Structural Equation Modeling

Rick H. Hoyle
Handbook of Structural Equation Modeling Book PDF

Author : Rick H. Hoyle
Publisher : Guilford Publications
Page : 801 pages
File Size : 53,7 Mb
Release : 2023-02-17
Category : Business & Economics
ISBN : 9781462544646

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Handbook of Structural Equation Modeling by Rick H. Hoyle Pdf

"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"--