Applied Latent Class Analysis PDF Download
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Author | : Jacques A. Hagenaars |
Publisher | : Cambridge University Press |
Total Pages | : 478 |
Release | : 2002-06-24 |
Genre | : Social Science |
ISBN | : 1139439235 |
Download Applied Latent Class Analysis Book in PDF, ePub and Kindle
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.
Author | : Jacques A. Hagenaars |
Publisher | : Cambridge University Press |
Total Pages | : 0 |
Release | : 2009-03-19 |
Genre | : Social Science |
ISBN | : 9780521104050 |
Download Applied Latent Class Analysis Book in PDF, ePub and Kindle
This study introduces several recent 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 have contributed essays to the volume, each presenting a key innovation to the basic LCM and illustrating how it can prove useful in situations typically encountered in actual research.
Author | : Linda M. Collins |
Publisher | : John Wiley & Sons |
Total Pages | : 273 |
Release | : 2013-05-20 |
Genre | : Mathematics |
ISBN | : 111821076X |
Download Latent Class and Latent Transition Analysis Book in PDF, ePub and Kindle
A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data. The book begins with an introduction to latent class and latent transition analysis for categorical data. Subsequent chapters delve into more in-depth material, featuring: A complete treatment of longitudinal latent class models Focused coverage of the conceptual underpinnings of interpretation and evaluationof a latent class solution Use of parameter restrictions and detection of identification problems Advanced topics such as multi-group analysis and the modeling and interpretation of interactions between covariates The authors present the topic in a style that is accessible yet rigorous. Each method is presented with both a theoretical background and the practical information that is useful for any data analyst. Empirical examples showcase the real-world applications of the discussed concepts and models, and each chapter concludes with a "Points to Remember" section that contains a brief summary of key ideas. All of the analyses in the book are performed using Proc LCA and Proc LTA, the authors' own software packages that can be run within the SAS® environment. A related Web site houses information on these freely available programs and the book's data sets, encouraging readers to reproduce the analyses and also try their own variations. Latent Class and Latent Transition Analysis is an excellent book for courses on categorical data analysis and latent variable models at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners in the social, behavioral, and health sciences who conduct latent class and latent transition analysis in their everyday work.
Author | : Allan L. McCutcheon |
Publisher | : SAGE |
Total Pages | : 104 |
Release | : 1987-05 |
Genre | : Mathematics |
ISBN | : 9780803927520 |
Download Latent Class Analysis Book in PDF, ePub and Kindle
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.
Author | : David A. Hensher |
Publisher | : Cambridge University Press |
Total Pages | : 1219 |
Release | : 2015-06-11 |
Genre | : Business & Economics |
ISBN | : 1107092647 |
Download Applied Choice Analysis Book in PDF, ePub and Kindle
A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.
Author | : Gregory R. Hancock |
Publisher | : IAP |
Total Pages | : 281 |
Release | : 2019-05-01 |
Genre | : Education |
ISBN | : 1641135638 |
Download Advances in Latent Class Analysis Book in PDF, ePub and Kindle
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.
Author | : Leonard Jason |
Publisher | : Oxford University Press |
Total Pages | : 409 |
Release | : 2016 |
Genre | : Psychology |
ISBN | : 0190243651 |
Download Handbook of Methodological Approaches to Community-based Research Book in PDF, ePub and Kindle
"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"--
Author | : Todd D. Little |
Publisher | : |
Total Pages | : 785 |
Release | : 2013-03-21 |
Genre | : Psychology |
ISBN | : 0199934894 |
Download The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2 Book in PDF, ePub and Kindle
The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.
Author | : Anders Skrondal |
Publisher | : CRC Press |
Total Pages | : 528 |
Release | : 2004-05-11 |
Genre | : Mathematics |
ISBN | : 0203489438 |
Download Generalized Latent Variable Modeling Book in PDF, ePub and Kindle
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wi
Author | : Judy Robertson |
Publisher | : Springer |
Total Pages | : 348 |
Release | : 2016-03-22 |
Genre | : Computers |
ISBN | : 3319266330 |
Download Modern Statistical Methods for HCI Book in PDF, ePub and Kindle
This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted. Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of “traditional” null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and related fields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.