Advanced Structural Equation Modeling, Marcoulides, George A.

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061425 ISBN-13(EAN): 9781138061422
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: 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.

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061441 ISBN-13(EAN): 9781138061446
Издательство: Taylor&Francis
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Цена: 86760.00 T
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Описание: 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.

Название: Advanced Structural Equation Modeling
ISBN: 1138966045 ISBN-13(EAN): 9781138966048
Издательство: Taylor&Francis
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Цена: 50010.00 T
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Описание: 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 understanding of graduate level multivariate statistics, including an introduction to SEM.

Автор: Silva, Bruno Castanho
Название: Multilevel structural equation modeling
ISBN: 1544323050 ISBN-13(EAN): 9781544323053
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание: Multilevel Structural Equation Modeling by 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, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.

Автор: Raykov, Tenko Marcoulides, George A.
Название: First course in structural equation modeling
ISBN: 0805855882 ISBN-13(EAN): 9780805855883
Издательство: Taylor&Francis
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Цена: 53070.00 T
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Описание: Introduces students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. Featuring examples from EQS, LISREL, and Mplus, this is a 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.

Автор: Ratan Dasgupta
Название: Growth Curve and Structural Equation Modeling
ISBN: 3319173286 ISBN-13(EAN): 9783319173283
Издательство: Springer
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Цена: 149060.00 T
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Описание: Growth curves in longitudinal studies are used in disciplines including biology, statistics, population studies, economics, biological sciences, sociology, nano-biotechnology, and fluid mechanics. The volume includes original studies, theoretical findings and case studies from a wide range of applied work.

Автор: Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811309795 ISBN-13(EAN): 9789811309793
Издательство: Springer
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Цена: 93160.00 T
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Описание: Longitudinal studies on Mathematical Aptitude and Intelligence Quotient in North Eastern tribes.- Cross sectional studies on Mathematical Aptitude and Intelligent Quotient in North Eastern tribes.- Retrospective longitudinal studies of social environment in North Eastern tribes.- Growth models for repeated measurement mixture experiments.- Growth models for repeated measurement mixture experiments: optimal designs for growth prediction.- An overview of growth and nutritional status among 5-18 year children in India.- Growth model for micro-particle ensemble probability.- Past and present status of Mangroves in Sunderban from ecological viewpoint.- Longitudinal Growth curve of Elephant foot yam under stress and plant sensitivity.

Название: Application of Structural Equation Modeling in Educational Research and Practice
ISBN: 9462093318 ISBN-13(EAN): 9789462093317
Издательство: Brill
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Цена: 119540.00 T
Наличие на складе: Невозможна поставка.
Описание: 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.

Автор: Davey, Adam Savla, Jyoti
Название: Statistical power analysis with missing data
ISBN: 0805863699 ISBN-13(EAN): 9780805863697
Издательство: Taylor&Francis
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Цена: 137810.00 T
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Описание:

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 that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:

• How missing data affects the statistical power in a study
• How much power is likely with different amounts and types of missing data
• How to increase the power of a design in the presence of missing data, and
• How to identify the most powerful design in the presence of missing data.

Points of Reflection encourage readers to stop and test their understanding of the material. Try Me sections test one's ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems. Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book's application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions.

Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book's applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.

Название: Application of Structural Equation Modeling in Educational Research and Practice
ISBN: 946209330X ISBN-13(EAN): 9789462093300
Издательство: Brill
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Цена: 66410.00 T
Наличие на складе: Невозможна поставка.
Описание: 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.

Автор: Gunzler, Douglas D. (case Western Reserve University At Metrohealth Medical Centre) Perzynski, Adam T. Carle, Adam C.
Название: Structural equation modeling for health and medicine
ISBN: 0367742330 ISBN-13(EAN): 9780367742331
Издательство: Taylor&Francis
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Цена: 43890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: SEM is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, we look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine.

Автор: Ratan Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811346925 ISBN-13(EAN): 9789811346927
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes recent trends in growth curve modelling research in various subject areas, both theoretical and applied. It explains and explores the growth curve model as a valuable tool for gaining insights into several research topics of interest to academics and practitioners alike. The book’s primary goal is to disseminate applications of the growth curve model to real-world problems, and to address related theoretical issues. The book will be of interest to a broad readership: for applied statisticians, it illustrates the importance of growth curve modelling as applied to actual field data; for more theoretically inclined statisticians, it highlights a number of theoretical issues that warrant further investigation.