Penerbit Universiti Teknologi MARA, 2012. — 238 p. — ISBN: 9673634181, 9789673634187. A step by step SEM and CFA guide for the Analysis of Moment Structures (Arbuckle, 2014). Including also interpretation of results and additional equations. Sample size estimation is also included.
Cambridge: Cambridge University Press, 2023. — 82 p. Introduction A Motivating Example Estimation Using First-Order Conditions Modeling Behavioral Heterogeneity Preference Heterogeneity Random Disturbances Combining Preference Heterogeneity and Random Disturbances Discreteness of Choice Data and the First-Order Condition Approach Estimation Using Discrete Choice Models Basic...
Encino: Multivariate Software, Inc. 2006. — 422 p. Overview Basic structural equation models Program input Program output Statistical methods Lagrange multiplier and wald tests Multisample covariance and correlation Structures Mean and covariance structures Multisample mean and covariance structures Growth curve models Multilevel methods Missing data Simulation and resampling...
SAGE Publications, 2013. — 312 p. This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is...
New York: Wiley-Interscience, 1989. — 514 p. A comprehensive introduction to the general structure equation systems-commonly known as the Lisrel model-used for quantitative research in the social sciences. Unified approach presents path analysis, recursive and nonrecursive models, classical econometrics, and confirmatory factor analysis as special cases of a general model. Also...
Wiley-Interscience, 2005. — 312 p. — ISBN: 047145592X, 9780471455929 An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This...
N.-Y.: Wiley, 2006. — 300 p.
An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts...
Oxford Scholarship Online, 2012. — 220 p. — ISBN: 9780195367621
Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. This pocket guide fills a major gap in the literature by providing social work researchers and doctoral students with an accessible synthesis. The authors...
Oxford University Press, 2011. — 220 p. — ISBN: 0195367626, 9780195367621. Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. This pocket guide fills a major gap in the literature by providing social work researchers and doctoral students with an accessible synthesis. The...
2nd edition. — New York: Routledge Academic, 2009. — 396 p. — (Multivariate applications series). — ISBN: 0805863729, 9780805863727. 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...
L.: Routledge, 2011. - 431p. 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....
CRC Press, 2024. — 429 p. This book is intended to contribute to the rapid development in structural equation modeling and its applications to real-world data. Straightforward explanations of the statistical theory and models related to structural equation models are provided, using a compilation of a variety of publicly available data, to provide an illustration of data...
N.-Y.: Wiley, 2015. — 408 p. 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...
Lincoln: Zea Books, 2018. — 119 p. 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...
Springer, 2015. — 299 p. This book describes some recent trends in GCM research on different subject areas, both theoretical and applied. This includes tools and possibilities for further work through new techniques and modification of existing ones. A growth curve is an empirical model of the evolution of a quantity over time. Growth curves in longitudinal studies are used in...
Routledge, 2009. — 368 p. — ISBN: 0805863702, 9780805863703 Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way...
New York: Academic Press, 1975. — 181 p. Preliminaries Correlation and Causation Recursive Models Structural Coefficients in Recursive Models A Just-Identified Nonrecursive Model Underidentification and the Problem of Identification Over identification in a Nonrecursive Model Specification Error Measurement Error, Unobserved Variables Multiple Indicators Form and Substance of...
2nd Edition. — Springer, 2020. — 354 p. — (Universitext). — ISBN: 978-3-030-41555-6. With many updates and additional exercises, the second edition of this book continues to provide readers with a gentle introduction to rough path analysis and regularity structures, theories that have yielded many new insights into the analysis of stochastic differential equations, and, most...
Asheboro: Statistical Publishing Associates, 2016. - 288 p.
This is a graduate-level introduction and illustrated tutorial on partial least squares (PLS). PLS may be used in the context of variance-based structural equation modeling, in contrast to the usual covariance-based structural equation modeling, or in the context of implementing regression models. PLS is largely a...
The Guilford Press, 2021. — 371 p. — (Methodology in the Social Sciences). — ISBN 9781462544240. Продольное Структурное Уравнение, Моделирующее с Mplus: Скрытая Перспектива Государственной черты An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state-trait (LST) theory as a...
Los Angeles: SAGE, 2013. - 329p.
An Introduction to Structural Equation Modeling
Specifying the Path Model and Collecting Data
Path Model Estimation
Assessing PLS-SEM Results Part I: Evaluation of Reflective Measurement Models
Assessing PLS-SEM Results Part II: Evaluation of the Formative Measurement Models
Assessing PLS-SEM Results Part Ill: Evaluation of the Structural...
Charlotte: Information Age Publishing, 2013. — 702 p. 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...
New York: The Guilford Press, 2021. — 381 p. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Jorg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite-...
N.-Y.: The Guilford Press, 2012. — 740 p. — ISBN: 978-1-60623-077-0.
The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of 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...
NY: Chapman and Hall/CRC, 2014. — 322 p. — (Statistics in the Social and Behavioral Sciences Series). — ISBN: 978-1-4665-9295-7. Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured...
Springer, 2015. — 92 p. — (SpringerBriefs in Research Synthesis and Meta-Analysis). — ISBN: 978-3-319-27172-9. This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives...
N.-Y.: Routledge, 2014. — 600 p.
Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book...
2nd ed. — SAGE Publications, Inc., 2015. — 250 p. — ISBN: 9781452291475
Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models...
New York: The Guilford Press, 2015. — 534 p. — ISBN: 978-1-4625-2334-4. Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent...
The Guilford Press, 2010. - 427 pages. This bestselling text provides a balance between the technical and practical aspects of structural equation modeling (SEM). Using clear and accessible language, Rex B. Kline covers core techniques, potential pitfalls, and applications across the behavioral and social sciences. Some more advanced topics are also covered, including...
4th Edition — The Guilford Press, 2016. — 554 p. — ISBN: 9781462523344
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent...
New York: The Guilford Press, 2013. — 411 p. Title Page Foreword Prologue Overview and Foundations of Structural Equation Modeling Design Issues in Longitudinal Studies The Measurement Model Model Fit, Sample Size, and Power The Longitudinal CFA Model Specifying and Interpreting a Longitudinal Panel Model Multiple-Group Models Multilevel Growth Curves and Multilevel SEM...
2nd edition. — The Guilford Press, 2024. — 643 p. — ISBN 9781462553143. Beloved for its engaging, conversational style, this valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal...
London: Routledge Academic, 2003. — 330 p. Метод анализа скрытых переменных является обобщением факторного анализа, метода структурных уравнений и анализа путей и находит широкое применение в экономических, психологических и социальных исследованиях. Для изучающих многомерные статистические методы и их применения. Path models in factor, path, and structural equation analysis...
London: Routledge, 2017. — 391 p. 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...
Lawrence Erlbaum Associates – 2001, 354 pages ISBN 0805835938 Featuring contributions from some of the leading researchers in the field of SEM, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel modeling, interaction...
New York: Psychology Press, 1996. — 375 p. By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an...
Sage Publications, 1997. — 328 p. — ISBN: 0803974094, 9780803974098
With the availability of software programs, such as LISREL, EQS, and AMOS, modelling (SEM) techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and test for the plausibility of the hypothesizing for a particular data set. However,...
NY: APA, 2014. — 426 p. — ISBN: 978-1-4338-1715-1. When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models....
CRC Press, 2021. — 384 p. — ISBN 9781482227819 (hbk), 9780429170362 (ebk). Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a...
London: Routledge, 2015. — 437 p. — ISBN: 978-1-84872-696-3. This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling options are available for which hypotheses. The author demonstrates how SEM is related to other longitudinal data techniques throughout. By exploring connections between models,...
SAS Institute, 2014. — 429 p. — 2nd ed. — ISBN: 1599942305, 9781599942308 Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all users—even those whose training in statistics is limited or who have never used SAS. It gently guides users...
Mahwah: Lawrence Erlbaum Associates, 2000. — 204 p. — ISBN 0-8058-3568-7. What Is Structural Equation Modeling? Structural equation modeling is a statistical methodology used by biologists, economists, educational researchers, marketing researchers, medical researchers, and a variety of social and behavioral scientists. One reason for its pervasive use in many scientific fields...
LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS. 2006. — 248 pages ISBN: 0805855874 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...
New York: Nova Science Pub Inc, 2015. — 119 p. — (Mathematics research developments). — ISBN: 978-1-63482-924-3. Structural equation modeling (SEM) is a general, cross-sectional statistical modeling technique. The chapters in this book propose a Bayesian approach based on SEM; an examination of predictors and outcomes related to school climate using latent class analysis and...
L.: Routledge, 2015. - 375 p. 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...
Routledge, 2010. — 530 p. — 3rd ed. — ISBN: 1841698911, 9781841698908, 9781841698915
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...
2 edition. Psychology Press, 2004. 513 p. ISBN:
0805840176. На английском языке.
В книге подробно, шаг за шагом, показан процесс структурного моделирования с помощью популярных пакетов, таких как AMOS (SPSS), EQS, LISREL. Предварительно авторы останавливаются на таких важных понятиях как корреляция и ковариация, многомерная регрессия, путевой и факторный анализ и на других...
Philadelphia: SAGE, 2019. — 150 p. Multilevel Structural Equation Modelingby Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible,...
Chapman and Hall/CRC – 2004, 488 pages ISBN: 1584880007, 9781584880004 This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the...
Scientific Software International, Incorporat, 1998. — 254 p. — ISBN 0894980335, 9780894980336 The book is supposed to serve as a guide to users of the LISREL program. I did not quite like the book because I am a fresh user to the program and the book does not take you step by step to what is required in doing structural equation modeling. this book assume that the reader has...
New York: Springer, 2020. — 132 p. 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...
Springer, 2020. — 132 p. — ISBN: 9789811537929, 9811537925. 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...
Amsterdam: Springer, 2004. — 364 p. After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, education, psychology, economics, management and medical sciences. In addition to an...
2nd Edition. — Wiley, 2020. — 537 p. — ISBN: 978-1-119-42272-3. Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced...
Wiley, 2012. — 478 p. — ISBN: 9781119978299 A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of...
New York: Springer, 2015. — 175 p. This compact reference surveys the full range of available structural equation modeling (SEM) methodologies. It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable. This is the first book to present SEM’s development in its proper historical...
2nd Edition. — Springer, 2019. — 155 p. — (Studies in Systems, Decision and Control 22). — ISBN: 978-3-030-12507-3. This new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a...
5th edition. — New York: Routledge, 2022. — 419 p. A Beginner’s Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition. All of the chapters that introduce models in SEM...
World Scientific Publishing, 2002. — 346 p. — ISBN: 9810248393. A summary of the main scientific achievements of the blown-up theory of evolution science, which was first seen in published form in 1994. It explores - using the viewpoint and methodology of the blown-up theory - possible generalizations of Newtonian particle mechanics and computational schemes, developed on...
Учебное пособие по курсу «CASE и CALS технология». – Обнинск: ИАТЭ НИЯУ МИФИ, 2015. – 72 c. В учебном пособии описывается сущность структурного подхода к моделированию и разработке автоматизированных систем, рассматриваются методы структурного анализа систем и современный инструментарий для его проведения. Подробно рассматриваются нотации моделирования поведения систем, нотации...
Комментарии