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Longitudinal Structural Equation Modeling, Newsom, Jason T.


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Автор: Newsom, Jason T.
Название:  Longitudinal Structural Equation Modeling
ISBN: 9781032202839
Издательство: Taylor&Francis
Классификация:




ISBN-10: 1032202831
Обложка/Формат: Hardback
Страницы: 560
Вес: 1.13 кг.
Дата издания: 12.09.2023
Серия: Multivariate applications series
Издание: 2 ed
Иллюстрации: 115 line drawings, black and white; 115 illustrations, black and white
Размер: 254 x 178
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: A comprehensive introduction
Рейтинг:
Поставляется из: Европейский союз


      Старое издание

Longitudinal Structural Equation Modeling

Автор: Newsom, Jason T.
Название: Longitudinal Structural Equation Modeling
ISBN: 1032202866 ISBN-13(EAN): 9781032202860
Издательство: Taylor&Francis
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Цена: 11482.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Longitudinal Structural Equation Modeling with Mplus

Автор: Geiser, Christian
Название: Longitudinal Structural Equation Modeling with Mplus
ISBN: 1462538789 ISBN-13(EAN): 9781462538782
Издательство: Taylor&Francis
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Цена: 8726.00 р.
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Описание: 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 unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.

Multilevel structural equation modeling

Автор: Silva, Bruno Castanho
Название: Multilevel structural equation modeling
ISBN: 1544323050 ISBN-13(EAN): 9781544323053
Издательство: Sage Publications
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Цена: 5859.00 р.
Наличие на складе: Поставка под заказ.

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.

Introduction to Structural Equation Modeling Using IBM SPSS

Название: Introduction to Structural Equation Modeling Using IBM SPSS
ISBN: 1473916224 ISBN-13(EAN): 9781473916227
Издательство: Sage Publications
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Цена: 8237.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project.

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

Автор: Niels Blunch
Название: Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS
ISBN: 1473916216 ISBN-13(EAN): 9781473916210
Издательство: Sage Publications
Рейтинг:
Цена: 22651.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project.

Using Mplus for Structural Equation Modeling: A Researcher`s Guide

Автор: Kelloway E. Kevin
Название: Using Mplus for Structural Equation Modeling: A Researcher`s Guide
ISBN: 1452291470 ISBN-13(EAN): 9781452291475
Издательство: Sage Publications
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Цена: 9504.00 р.
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Описание: Using a tried-and-tested, five-step process, this book provides students with a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework.

Structural Equation Modeling with Mplus

Автор: Byrne
Название: Structural Equation Modeling with Mplus
ISBN: 0805859861 ISBN-13(EAN): 9780805859867
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание:

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. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including:

  • an explanation of the issues addressed
  • illustrated and annotated testing of the hypothesized and post hoc models
  • explanation and interpretation of all Mplus input and output files
  • important caveats pertinent to the SEM application under study
  • a description of the data and reference upon which the model was based
  • the corresponding data and syntax files available at http: //www.psypress.com/sem-with-mplus/datasets .

The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models.

Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

Growth Curve and Structural Equation Modeling

Автор: Ratan Dasgupta
Название: Growth Curve and Structural Equation Modeling
ISBN: 3319173286 ISBN-13(EAN): 9783319173283
Издательство: Springer
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Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Multiple Regression and Beyond

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061425 ISBN-13(EAN): 9781138061422
Издательство: Taylor&Francis
Рейтинг:
Цена: 33686.00 р.
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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.

Multiple Regression and Beyond

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061441 ISBN-13(EAN): 9781138061446
Издательство: Taylor&Francis
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Цена: 13014.00 р.
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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.

Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours

Автор: Wong Ken Kwong-Kay
Название: Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours
ISBN: 153206649X ISBN-13(EAN): 9781532066498
Издательство: Неизвестно
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Цена: 1930.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Partial least squares is a new approach in structural equation modeling that can pay dividends when theory is scarce, correct model specifications are uncertain, and predictive accuracy is paramount. Marketers can use PLS to build models that measure latent variables such as socioeconomic status, perceived quality, satisfaction, brand attitude, buying intention, and customer loyalty. When applied correctly, PLS can be a great alternative to existing covariance-based SEM approaches. Dr. Ken Kwong-Kay Wong wrote this reference guide with graduate students and marketing practitioners in mind. Coupled with business examples and downloadable datasets for practice, the guide includes step-by-step guidelines for advanced PLS-SEM procedures in SmartPLS, including: CTA-PLS, FIMIX-PLS, GoF (SRMR, dULS, and dG), HCM, HTMT, IPMA, MICOM, PLS-MGA, PLS-POS, PLSc, and QEM. Filled with useful illustrations to facilitate understanding, you'll find this guide a go-to tool when conducting marketing research. "This book provides all the essentials in comprehending, assimilating, applying and explicitly presenting sophisticated structured models in the most simplistic manner for a plethora of Business and Non-Business disciplines." - Professor Siva Muthaly, Dean of Faculty of Business and Management at APU.


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