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Latent Class Scaling Analysis


Latent Class Scaling Analysis
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Latent Class Scaling Analysis


Latent Class Scaling Analysis
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Author : C. Mitchell Dayton
language : en
Publisher: SAGE
Release Date : 1998

Latent Class Scaling Analysis written by C. Mitchell Dayton and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Medical categories.


The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.



Latent Class Scaling Analysis A Sage University Papers Series Quantitative Applications In The Social Sciences 07 126


Latent Class Scaling Analysis A Sage University Papers Series Quantitative Applications In The Social Sciences 07 126
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Author : C. Mitchel Dayton
language : en
Publisher:
Release Date :

Latent Class Scaling Analysis A Sage University Papers Series Quantitative Applications In The Social Sciences 07 126 written by C. Mitchel Dayton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




An Introduction To Latent Class Analysis


An Introduction To Latent Class Analysis
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Author : Nobuoki Eshima
language : en
Publisher: Springer Nature
Release Date : 2022-04-09

An Introduction To Latent Class Analysis written by Nobuoki Eshima and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-09 with Business & Economics categories.


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.



Applied Latent Class Analysis


Applied Latent Class Analysis
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Author : Jacques A. Hagenaars
language : en
Publisher: Cambridge University Press
Release Date : 2002-06-24

Applied Latent Class Analysis written by Jacques A. Hagenaars and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-06-24 with Social Science categories.


Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.



Latent Class Analysis


Latent Class Analysis
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Author : Allan L. McCutcheon
language : en
Publisher: SAGE
Release Date : 1987-05

Latent Class Analysis written by Allan L. McCutcheon and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-05 with Mathematics categories.


Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.



Advances In Latent Class Analysis


Advances In Latent Class Analysis
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Author : Gregory R. Hancock
language : en
Publisher: IAP
Release Date : 2019-05-01

Advances In Latent Class Analysis written by Gregory R. Hancock and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-01 with Education categories.


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.



Latent Class And Discrete Latent Trait Models


Latent Class And Discrete Latent Trait Models
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Author : Ton Heinen
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1996-04-24

Latent Class And Discrete Latent Trait Models written by Ton Heinen and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-24 with Mathematics categories.


In addition, he reviews log-linear models, latent trait models, and a number of restricted latent class models in detail as well as for the estimation of parameters for these models.



Latent Trait And Latent Class Models


Latent Trait And Latent Class Models
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Author : R. Langeheine
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Latent Trait And Latent Class Models written by R. Langeheine and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Psychology categories.


This volume is based on an international conference held at the Institute for Science Education (IPN) in Kiel in August 1985. The IPN is a national research institute for science education of the Federal Republic of Germany associated with the University of Kiel. The aim of this conference-to treat latent trait and latent class models under comparative points of view as well as under application aspects-was realized in many stimulating contributions and very different ways. We asked the authors of these papers to work out their contributions for publication here, not only because many of the papers present new material, but also because the time is ripe for a comprehen sive volume, working up the widespread literature of the past ten years in this field. We have tried to compile a volume that will be of interest to statistically oriented researchers in a variety of disciplines, including psychology, sociology, education, political science, epidemiology, and the like. Although the chapters assume a reasonably high level of methodo logical sophistication, we hope that the book will find its way into advanced courses in the above fields. We are grateful to the IPN for organizing the conference, to our contributors for their untiring efforts in revising their chapters for publication, and to the staff of Plenum Publishing Corporation for helping to make this book a reality.



Handbook Of Methodological Approaches To Community Based Research


Handbook Of Methodological Approaches To Community Based Research
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Author : Leonard Jason
language : en
Publisher: Oxford University Press
Release Date : 2016

Handbook Of Methodological Approaches To Community Based Research written by Leonard Jason and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Education categories.


The Handbook of Methodological Approaches to Community-Based Research is intended to aid the community-oriented researcher in learning about and applying cutting-edge quantitative, qualitative, and mixed methods approaches.



Handbook Of Statistical Modeling For The Social And Behavioral Sciences


Handbook Of Statistical Modeling For The Social And Behavioral Sciences
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Author : G. Arminger
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Handbook Of Statistical Modeling For The Social And Behavioral Sciences written by G. Arminger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Psychology categories.


Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.