Higher-order growth curves and mixture modeling with mplus, Wickrama, Kandauda A.s. Lee, Tae Kyoung (university Of Georgia, Usa) O`neal, Catherine Walker (university Of Georgia, Usa) Lorenz, Frederick O.
Старое издание
Автор: Byrne Название: Structural Equation Modeling with Mplus ISBN: 0805859861 ISBN-13(EAN): 9780805859867 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Finch Название: Multilevel Modeling Using Mplus ISBN: 1498748244 ISBN-13(EAN): 9781498748247 Издательство: Taylor&Francis Рейтинг: Цена: 8726.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. Presents the theory and practice of major multilevel modelling techniques using Mplus as the software tool.
Автор: Tatarinova Tatiana, Schumitzky Alan Название: Nonlinear Mixture Models: A Bayesian Approach ISBN: 1848167563 ISBN-13(EAN): 9781848167568 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides an introduction to the important subject of nonlinear mixture models from a Bayesian perspective. This title contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications.
Автор: Wickrama Kandauda A. S., Lee Tae Kyoung, O`Neal Catherine Walker Название: Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide ISBN: 0367746204 ISBN-13(EAN): 9780367746209 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps.
Автор: Jichuan Wang, Xiaoqian Wang Название: Structural Equation Modeling: Applications Using Mplus ISBN: 1119422701 ISBN-13(EAN): 9781119422709 Издательство: Wiley Рейтинг: Цена: 11714.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Investigating fundamental issues in intellectual property (IP) law, this comparative collection brings together leading authors from around the world to provide perspectives across regimes, jurisdictions, and professions. This timely volume will appeal to a wide international audience that includes scholars, practicing lawyers, judges, and graduate students.
Автор: Geiser, Christian Название: Longitudinal Structural Equation Modeling with Mplus ISBN: 1462538789 ISBN-13(EAN): 9781462538782 Издательство: Taylor&Francis Рейтинг: Цена: 8726.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Bouguila Nizar, Fan Wentao Название: Mixture Models and Applications ISBN: 303023875X ISBN-13(EAN): 9783030238759 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature.
Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection;Present theoretical and practical developments in mixture-based modeling and their importance in different applications;Discusses perspectives and challenging future works related to mixture modeling.
Автор: B.K. Sinha; N.K. Mandal; Manisha Pal; P. Das Название: Optimal Mixture Experiments ISBN: 8132217853 ISBN-13(EAN): 9788132217855 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Opening with the basics of regression designs, this book reviews linear and quadratic Scheffe mixture models, applies the Darroch-Waller three-component quadratic mixture model to the general q-component model, discusses non-standard mixture designs and more.
Автор: Ivan Nagy; Evgenia Suzdaleva Название: Algorithms and Programs of Dynamic Mixture Estimation ISBN: 3319646702 ISBN-13(EAN): 9783319646701 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
