Описание: This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models. The maximum likelihood estimation procedures for latent class models are constructed via the expectation–maximization (EM) algorithm, and along with it, latent profile and latent trait models are also treated. Entropy-based discussions for latent class models are given as advanced approaches, for example, comparison of latent classes in a latent class cluster model, assessing latent class models, path analysis, and so on. In observing human behaviors and responses to various stimuli and test items, it is valid to assume they are dominated by certain factors. This book plays a significant role in introducing latent structure analysis to not only young researchers and students studying behavioral sciences, but also to those investigating other fields of scientific research.
Автор: Loehlin Название: Latent Variable Models ISBN: 1138916072 ISBN-13(EAN): 9781138916074 Издательство: Taylor&Francis Рейтинг: Цена: 10411.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models.
Автор: Loehlin Название: Latent Variable Models ISBN: 1138916064 ISBN-13(EAN): 9781138916067 Издательство: Taylor&Francis Рейтинг: Цена: 26030.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models.
Автор: Gregory R. Hancock, Jeffrey R. Harring, George B. Macready Название: Advances in Latent Class Analysis: A Festschrift in Honor of C. Mitchell Dayton ISBN: 1641135611 ISBN-13(EAN): 9781641135610 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7623.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests within much broader mixture and diagnostic modeling framework, integrating measured and latent variables that may be categorical and/or continuous, and where latent classes serve to define the subpopulations for whom many aspects of the focal measured and latent variable model may differ. For latent class analysis to take these developmental leaps required contributions that were methodological, certainly, as well as didactic. Among the leaders on both fronts was C. Mitchell “Chan” Dayton, at the University of Maryland, whose work in latent class analysis spanning several decades helped the method to expand and reach its current potential. The current volume in the Center for Integrated Latent Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and inspired by Chan’s noted contributions, and signaling the even more exciting future yet to come.
Автор: Gregory R. Hancock, Jeffrey R. Harring, George B. Macready Название: Advances in Latent Class Analysis: A Festschrift in Honor of C. Mitchell Dayton ISBN: 164113562X ISBN-13(EAN): 9781641135627 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14276.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests within much broader mixture and diagnostic modeling framework, integrating measured and latent variables that may be categorical and/or continuous, and where latent classes serve to define the subpopulations for whom many aspects of the focal measured and latent variable model may differ. For latent class analysis to take these developmental leaps required contributions that were methodological, certainly, as well as didactic. Among the leaders on both fronts was C. Mitchell “Chan” Dayton, at the University of Maryland, whose work in latent class analysis spanning several decades helped the method to expand and reach its current potential. The current volume in the Center for Integrated Latent Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and inspired by Chan’s noted contributions, and signaling the even more exciting future yet to come.
Автор: Sijtsma, Klaas , van der Ark, L.Andries Название: Measurement Models for Psychological Attributes ISBN: 0367424525 ISBN-13(EAN): 9780367424527 Издательство: Taylor&Francis Рейтинг: Цена: 11636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences.
Описание: Focuses on latent class analysis (LCA) and latent transition analysis (LTA) with a comprehensive treatment of longitudinal latent class models. This book includes examples that enable the reader to acquire a conceptual and technical understanding and to apply techniques to address empirical research questions.
Автор: Biemer Название: Latent Class Analysis of Survey Error ISBN: 0470289074 ISBN-13(EAN): 9780470289075 Издательство: Wiley Рейтинг: Цена: 15990.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys.
Автор: Sijtsma Название: A Critical Guide To Constructing Te ISBN: 1439881340 ISBN-13(EAN): 9781439881347 Издательство: Taylor&Francis Рейтинг: Цена: 28327.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences.
Автор: Duncan, Terry E. Название: An Introduction to Latent Variable Growth Curve Modeling ISBN: 0805855467 ISBN-13(EAN): 9780805855463 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Нет в наличии.
Автор: Duncan, Terry E. Название: An Introduction to Latent Variable Growth Curve Modeling ISBN: 0805855475 ISBN-13(EAN): 9780805855470 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Нет в наличии.
Автор: Berthold Lausen; Sabine Krolak-Schwerdt; Matthias Название: Data Science, Learning by Latent Structures, and Knowledge Discovery ISBN: 366244982X ISBN-13(EAN): 9783662449820 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data;
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
