Testing Structural Equation Models
Testing Structural Equation Models

Author: Kenneth A. Bollen

Publisher: SAGE

Published: 1993-02

Total Pages: 336

ISBN-13: 9780803945074

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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.

Structural Modeling by Example
Structural Modeling by Example

Author: Peter Cuttance

Publisher: Cambridge University Press

Published: 1987

Total Pages: 333

ISBN-13: 0521261953

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This book offers a comprehensive overview of the application of structural equation models in the social and behavioural sciences and in educational research.

Handbook of Structural Equation Modeling
Handbook of Structural Equation Modeling

Author: Rick H. Hoyle

Publisher: Guilford Publications

Published: 2023-02-17

Total Pages: 801

ISBN-13: 1462544649

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"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"--

Essentials of Structural Equation Modeling
Essentials of Structural Equation Modeling

Author: Mustafa Emre Civelek

Publisher: Lulu.com

Published: 2018-03-12

Total Pages: 120

ISBN-13: 1609621298

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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.

Composite-Based Structural Equation Modeling
Composite-Based Structural Equation Modeling

Author: Jörg Henseler

Publisher: Guilford Publications

Published: 2020-12-24

Total Pages: 387

ISBN-13: 1462545610

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This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Jörg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importance–performance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides.

Structural Equation Modeling
Structural Equation Modeling

Author: David Kaplan

Publisher: SAGE Publications

Published: 2008-07-23

Total Pages: 306

ISBN-13: 148334259X

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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.

Basics of Structural Equation Modeling
Basics of Structural Equation Modeling

Author: Geoffrey M. Maruyama

Publisher: SAGE Publications

Published: 1997-09-22

Total Pages: 328

ISBN-13: 150632035X

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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.

Practical Statistics
Practical Statistics

Author: David Kremelberg

Publisher: SAGE Publications

Published: 2010-03-18

Total Pages: 529

ISBN-13: 150631791X

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Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

A Beginner's Guide to Structural Equation Modeling
A Beginner's Guide to Structural Equation Modeling

Author: Randall E. Schumacker

Publisher: Psychology Press

Published: 2004-06-24

Total Pages: 590

ISBN-13: 1135641919

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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.