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Latent Class Scaling Analysis

Latent Class Scaling Analysis
Author: C. Mitchell Dayton
Publisher: SAGE
Total Pages: 108
Release: 1998
Genre: Medical
ISBN: 9780761913238

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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.


Applied Latent Class Analysis

Applied Latent Class Analysis
Author: Jacques A. Hagenaars
Publisher: Cambridge University Press
Total Pages: 478
Release: 2002-06-24
Genre: Social Science
ISBN: 1139439235

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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.


Advances in Latent Class Analysis

Advances in Latent Class Analysis
Author: Gregory R. Hancock
Publisher: IAP
Total Pages: 281
Release: 2019-05-01
Genre: Education
ISBN: 1641135638

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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 Analysis

Latent Class Analysis
Author: Allan L. McCutcheon
Publisher: SAGE
Total Pages: 104
Release: 1987-05
Genre: Mathematics
ISBN: 9780803927520

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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.


An Introduction to Latent Class Analysis

An Introduction to Latent Class Analysis
Author: Nobuoki Eshima
Publisher: Springer Nature
Total Pages: 196
Release: 2022-04-09
Genre: Business & Economics
ISBN: 9811909725

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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.


Handbook of Methodological Approaches to Community-based Research

Handbook of Methodological Approaches to Community-based Research
Author: Leonard Jason
Publisher: Oxford University Press
Total Pages: 409
Release: 2016
Genre: Education
ISBN: 0190243651

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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
Author: G. Arminger
Publisher: Springer Science & Business Media
Total Pages: 603
Release: 2013-06-29
Genre: Psychology
ISBN: 1489912924

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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.


Latent Trait and Latent Class Models

Latent Trait and Latent Class Models
Author: R. Langeheine
Publisher: Springer Science & Business Media
Total Pages: 309
Release: 2013-06-29
Genre: Psychology
ISBN: 1475756445

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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.


Applied Choice Analysis

Applied Choice Analysis
Author: David A. Hensher
Publisher: Cambridge University Press
Total Pages: 1219
Release: 2015-06-11
Genre: Business & Economics
ISBN: 1107092647

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A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.