Structural Equation Modeling Using R/SAS, Ding-Geng Chen, Yiu-Fai Yung

Автор: Schumacker, Randall E. Lomax, Richard G.
Название: Beginner`s guide to structural equation modeling
ISBN: 0805840184 ISBN-13(EAN): 9780805840186
Издательство: Taylor&Francis
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Цена: 40780.00 T
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Описание: A basic introduction to structural equation modeling (SEM), this text focuses on the conceptual steps one takes in analyzing theoretical models. The authors` goal is to enable the reader to conduct their own SEM analysis and understand and critique SEM research.

Автор: Mueller
Название: Basic Principles of Structural Equation Modeling
ISBN: 0387945164 ISBN-13(EAN): 9780387945163
Издательство: Springer
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Цена: 93130.00 T
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Описание: Structural equation modeling (SEM) emerged as a powerful data analysis tool for research in the social sciences, education, and psychology. This book provides an introduction to the subject suitable for beginning graduate students. It focuses on the basic concepts and applications of SEM within the social and behavioral sciences.

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: 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: 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.

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.

Автор: Ratan Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811318425 ISBN-13(EAN): 9789811318429
Издательство: Springer
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Цена: 93160.00 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.

Автор: Collier, Joel
Название: Applied Structural Equation Modeling using AMOS
ISBN: 0367435268 ISBN-13(EAN): 9780367435264
Издательство: Taylor&Francis
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Цена: 59190.00 T
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Описание: An integral guide for postgraduates and researchers on how to forge a strong methodology while studying their respective phenomenon of interest, providing step-by-step instructions on how to run analyses, where the important results are in the output, and how to clearly present final results.

Автор: Collier, Joel
Название: Applied Structural Equation Modeling using AMOS
ISBN: 0367863294 ISBN-13(EAN): 9780367863296
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An integral guide for postgraduates and researchers on how to forge a strong methodology while studying their respective phenomenon of interest, providing step-by-step instructions on how to run analyses, where the important results are in the output, and how to clearly present final results.

Автор: Blunch Niels
Название: Introduction to Structural Equation Modeling Using IBM SPSS
ISBN: 144624900X ISBN-13(EAN): 9781446249000
Издательство: Sage Publications
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Цена: 62310.00 T
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Описание: This comprehensive second edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM).

Автор: Ratan Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811345430 ISBN-13(EAN): 9789811345432
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains and explores the growth curve model as a tool to gain insights into various research topics of interest to academics and practitioners alike. It includes studies on growth models for repeated measurement mixture experiments, and optimal designs for growth prediction in order to find an optimum design for the most efficient estimation of the parameters of the mixture models. It presents longitudinal studies conducted on the mathematical aptitude and intelligence quotient of tribal population in North Eastern states of India, and innovative statistical analysis showing that the status of tribes is improving over time. These results are supplemented by similar cross- sectional studies, and a retrospective longitudinal study of the social environment in North Eastern tribes indicating that the growth status of the social environment is improving. Child health is an important topic in developing countries, and as such the book features an overview of the growth and nutritional status of children aged 5 to 18 in India. Characterization of Extended Uniform Distribution and its applications for quality control in industrial production, and in yield data of tuber crops among others are discussed. Characterizations of distribution in terms of performance rate are also proved. There is also a contribution examining the past and present status of mangroves in Sunderban region of the Indian state of West Bengal from an ecological viewpoint using a growth curve model set-up. Lastly, it includes a chapter on a statistical study of platelet size decomposition and related growth model. Highlighting the importance of growth curve modelling as it applies to actual field data and encouraging more theoretically inclined statisticians to look into theoretical issues that need investigation, the book disseminates applications of the growth curve model to real-world problems and addresses related theoretical issues for the attention of theoreticians and practitioners.