Advances In Latent Variable Mixture Models

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Advances in Latent Variable Mixture Models

Gregory R. Hancock,Karen M. Samuelsen
Advances in Latent Variable Mixture Models Book PDF

Author : Gregory R. Hancock,Karen M. Samuelsen
Publisher : IAP
Page : 385 pages
File Size : 55,7 Mb
Release : 2007-11-01
Category : Mathematics
ISBN : 9781607526346

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Advances in Latent Variable Mixture Models by Gregory R. Hancock,Karen M. Samuelsen Pdf

The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR conference, providing not just a snapshot of the event, but more importantly chronicling the state of the art in latent variable mixture model research. The volume starts with an overview chapter by the CILVR conference keynote speaker, Bengt Muthén, offering a “lay of the land” for latent variable mixture models before the volume moves to more specific constellations of topics. Part I, Multilevel and Longitudinal Systems, deals with mixtures for data that are hierarchical in nature either due to the data’s sampling structure or to the repetition of measures (of varied types) over time. Part II, Models for Assessment and Diagnosis, addresses scenarios for making judgments about individuals’ state of knowledge or development, and about the instruments used for making such judgments. Finally, Part III, Challenges in Model Evaluation, focuses on some of the methodological issues associated with the selection of models most accurately representing the processes and populations under investigation. It should be stated that this volume is not intended to be a first exposure to latent variable methods. Readers lacking such foundational knowledge are encouraged to consult primary and/or secondary didactic resources in order to get the most from the chapters in this volume. Once armed with the basic understanding of latent variable methods, we believe readers will find this volume incredibly exciting.

Advances in Latent Class Analysis

Gregory R. Hancock,Jeffrey R. Harring,George B. Macready
Advances in Latent Class Analysis Book PDF

Author : Gregory R. Hancock,Jeffrey R. Harring,George B. Macready
Publisher : IAP
Page : 281 pages
File Size : 44,6 Mb
Release : 2019-05-01
Category : Education
ISBN : 9781641135634

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Advances in Latent Class Analysis by Gregory R. Hancock,Jeffrey R. Harring,George B. Macready Pdf

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 Variable Modeling with R

W. Holmes Finch,Brian F. French
Latent Variable Modeling with R Book PDF

Author : W. Holmes Finch,Brian F. French
Publisher : Routledge
Page : 328 pages
File Size : 45,5 Mb
Release : 2015-06-26
Category : Psychology
ISBN : 9781317970750

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Latent Variable Modeling with R by W. Holmes Finch,Brian F. French Pdf

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting the analyses is described along with the resulting output which provides readers with a template to follow when they apply the methods to their own data. The basic information pertinent to each model, the newest developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested readings. A glossary of the text’s boldfaced key terms and key R commands serve as helpful resources. The book is accompanied by a website with exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data providing a more realistic situation readers will encounter with their own data. -Reviews a wide range of LVMs including factor analysis, structural equation modeling, item response theory, and mixture models and advanced topics such as fitting nonlinear structural equation models, nonparametric item response theory models, and mixture regression models. -Demonstrates how data simulation can help researchers better understand statistical methods and assist in selecting the necessary sample size prior to collecting data. -www.routledge.com/9780415832458 provides exercises that apply the models along with annotated R output answer keys and the data that corresponds to the in-text examples so readers can replicate the results and check their work. The book opens with basic instructions in how to use R to read data, download functions, and conduct basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor analysis (CFA), structural equation modeling (SEM), multiple groups CFA/SEM, least squares estimation, growth curve models, mixture models, item response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. The book concludes with a discussion of how data simulation can be used to better understand the workings of a statistical method and assist researchers in deciding on the necessary sample size prior to collecting data. A mixture of independently developed R code along with available libraries for simulating latent models in R are provided so readers can use these simulations to analyze data using the methods introduced in the previous chapters. Intended for use in graduate or advanced undergraduate courses in latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, and social and health sciences, researchers in these fields also appreciate this book’s practical approach. The book provides sufficient conceptual background information to serve as a standalone text. Familiarity with basic statistical concepts is assumed but basic knowledge of R is not.

Advances in Latent Variables

Maurizio Carpita,Eugenio Brentari,El Mostafa Qannari
Advances in Latent Variables Book PDF

Author : Maurizio Carpita,Eugenio Brentari,El Mostafa Qannari
Publisher : Springer
Page : 285 pages
File Size : 46,7 Mb
Release : 2015-04-01
Category : Mathematics
ISBN : 9783319029672

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Advances in Latent Variables by Maurizio Carpita,Eugenio Brentari,El Mostafa Qannari Pdf

The book, belonging to the series “Studies in Theoretical and Applied Statistics– Selected Papers from the Statistical Societies”, presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications", held at the Department of Economics and Management of the University of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact, in recent years, there has been increasing interest in this broad research area from both a theoretical and an applied point of view, as the statistical latent variable approach allows the effective modeling of complex real-life phenomena in a wide range of research fields. A major goal of the volume is to bring together articles written by statisticians from different research fields, which present different approaches and experiences related to the analysis of unobservable variables and the study of the relationships between them.

Higher-Order Growth Curves and Mixture Modeling with Mplus

Kandauda A.S. Wickrama,Tae Kyoung Lee,Catherine Walker O’Neal,Frederick O. Lorenz
Higher Order Growth Curves and Mixture Modeling with Mplus Book PDF

Author : Kandauda A.S. Wickrama,Tae Kyoung Lee,Catherine Walker O’Neal,Frederick O. Lorenz
Publisher : Routledge
Page : 366 pages
File Size : 44,9 Mb
Release : 2016-04-14
Category : Psychology
ISBN : 9781317283928

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Higher-Order Growth Curves and Mixture Modeling with Mplus by Kandauda A.S. Wickrama,Tae Kyoung Lee,Catherine Walker O’Neal,Frederick O. Lorenz Pdf

This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web. Highlights include: -Illustrative examples using Mplus 7.4 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data. -Exercises with an answer key allow readers to practice the skills they learn. -Applications to a variety of disciplines appeal to those in the behavioral, social, political, educational, occupational, business, and health sciences. -Data files for all the illustrative examples and exercises at www.routledge.com/9781138925151 allow readers to test their understanding of the concepts. -Point to Remember boxes aid in reader comprehension or provide in-depth discussions of key statistical or theoretical concepts. Part 1 introduces basic structural equation modeling (SEM) as well as first- and second-order growth curve modeling. The book opens with the basic concepts from SEM, possible extensions of conventional growth curve models, and the data and measures used throughout the book. The subsequent chapters in part 1 explain the extensions. Chapter 2 introduces conventional modeling of multidimensional panel data, including confirmatory factor analysis (CFA) and growth curve modeling, and its limitations. The logical and theoretical extension of a CFA to a second-order growth curve, known as curve-of-factors model (CFM), are explained in Chapter 3. Chapter 4 illustrates the estimation and interpretation of unconditional and conditional CFMs. Chapter 5 presents the logical and theoretical extension of a parallel process model to a second-order growth curve, known as factor-of-curves model (FCM). Chapter 6 illustrates the estimation and interpretation of unconditional and conditional FCMs. Part 2 reviews growth mixture modeling including unconditional growth mixture modeling (Ch. 7) and conditional growth mixture models (Ch. 8). How to extend second-order growth curves (curve-of-factors and factor-of-curves models) to growth mixture models is highlighted in Chapter 9. Ideal as a supplement for use in graduate courses on (advanced) structural equation, multilevel, longitudinal, or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) taught in psychology, human development and family studies, business, education, health, and social sciences, this book’s practical approach also appeals to researchers. Prerequisites include a basic knowledge of intermediate statistics and structural equation modeling.

The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2

Todd D. Little
The Oxford Handbook of Quantitative Methods in Psychology Vol 2 Book PDF

Author : Todd D. Little
Publisher : Unknown
Page : 785 pages
File Size : 54,8 Mb
Release : 2013-03-21
Category : Psychology
ISBN : 9780199934898

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The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2 by Todd D. Little Pdf

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.

New Developments and Techniques in Structural Equation Modeling

George A. Marcoulides,Randall E. Schumacker
New Developments and Techniques in Structural Equation Modeling Book PDF

Author : George A. Marcoulides,Randall E. Schumacker
Publisher : Psychology Press
Page : 354 pages
File Size : 46,8 Mb
Release : 2001-03-01
Category : Psychology
ISBN : 9781410601858

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New Developments and Techniques in Structural Equation Modeling by George A. Marcoulides,Randall E. Schumacker Pdf

Featuring contributions from some of the leading researchers in the field of SEM, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel modeling, interaction modeling, models for dealing with nonstandard and noncompliance samples, the latest on the analysis of growth curve and longitudinal data, specification searches, item parceling, and equivalent models. This volume will appeal to educators, psychologists, biologists, business professionals, medical researchers, and other social and health scientists. It is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course that included coverage of introductory SEM techniques.

New Developments and Techniques in Structural Equation Modeling

George A. Marcoulides,Randall E. Schumacker
New Developments and Techniques in Structural Equation Modeling Book PDF

Author : George A. Marcoulides,Randall E. Schumacker
Publisher : Psychology Press
Page : 354 pages
File Size : 42,8 Mb
Release : 2001-03
Category : Mathematics
ISBN : 9781135657819

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New Developments and Techniques in Structural Equation Modeling by George A. Marcoulides,Randall E. Schumacker Pdf

The revision of this edited volume introduces the latest issues and developments in SEM techniques. The book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. Includes cases & examples.

Generalized Latent Variable Modeling

Anders Skrondal,Sophia Rabe-Hesketh
Generalized Latent Variable Modeling Book PDF

Author : Anders Skrondal,Sophia Rabe-Hesketh
Publisher : CRC Press
Page : 528 pages
File Size : 52,8 Mb
Release : 2004-05-11
Category : Mathematics
ISBN : 9780203489437

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Generalized Latent Variable Modeling by Anders Skrondal,Sophia Rabe-Hesketh Pdf

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

Multilevel Modeling

Steven P. Reise,Naihua Duan
Multilevel Modeling Book PDF

Author : Steven P. Reise,Naihua Duan
Publisher : Psychology Press
Page : 332 pages
File Size : 41,8 Mb
Release : 2003-01-30
Category : Psychology
ISBN : 9781135655358

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Multilevel Modeling by Steven P. Reise,Naihua Duan Pdf

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world. The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.

Handbook of Advanced Multilevel Analysis

Joop Hox,J. Kyle Roberts
Handbook of Advanced Multilevel Analysis Book PDF

Author : Joop Hox,J. Kyle Roberts
Publisher : Psychology Press
Page : 408 pages
File Size : 47,5 Mb
Release : 2011-01-11
Category : Psychology
ISBN : 9781136951275

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Handbook of Advanced Multilevel Analysis by Joop Hox,J. Kyle Roberts Pdf

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

Higher-Order Growth Curves and Mixture Modeling with Mplus

Kandauda A.S. Wickrama,Tae Kyoung Lee,Catherine Walker O’Neal,Frederick O. Lorenz
Higher Order Growth Curves and Mixture Modeling with Mplus Book PDF

Author : Kandauda A.S. Wickrama,Tae Kyoung Lee,Catherine Walker O’Neal,Frederick O. Lorenz
Publisher : Routledge
Page : 346 pages
File Size : 54,5 Mb
Release : 2021-11-24
Category : Psychology
ISBN : 9781000465808

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Higher-Order Growth Curves and Mixture Modeling with Mplus by Kandauda A.S. Wickrama,Tae Kyoung Lee,Catherine Walker O’Neal,Frederick O. Lorenz Pdf

This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two using normal and non-normal (e.g., categorical) data. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web. New to this edition: * Two new chapters providing a stepwise introduction and practical guide to the application of second-order growth curves and mixture models with categorical outcomes using the Mplus program. Complete with exercises, answer keys, and downloadable data files. * Updated illustrative examples using Mplus 8.0 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data. This text is ideal for use in graduate courses or workshops on advanced structural equation, multilevel, longitudinal or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) across the social and behavioral sciences.

Advances in Longitudinal Methods in the Social and Behavioral Sciences

Gregory R. Hancock,Jeffrey R. Harring
Advances in Longitudinal Methods in the Social and Behavioral Sciences Book PDF

Author : Gregory R. Hancock,Jeffrey R. Harring
Publisher : IAP
Page : 355 pages
File Size : 42,9 Mb
Release : 2012-11-01
Category : Education
ISBN : 9781617358913

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Advances in Longitudinal Methods in the Social and Behavioral Sciences by Gregory R. Hancock,Jeffrey R. Harring Pdf

The importance that practitioners are placing on longitudinal designs and analyses signals a critical shift toward methods that enable a better understanding of developmental processes thought to underlie many human attributes and behaviors. A simple scan of one’s own applied literature reveals evidence of this trend through the increasing number of articles adopting longitudinal methods as their primary analytic tools. Advances in Longitudinal Methods in the Social and Behavioral Sciences is a resource intended for advanced graduate students, faculty, and applied researchers interested in longitudinal data analysis, especially in the social and behavioral sciences. The chapters are written by established methodological researchers from diverse research domains such as psychology, biostatistics, educational statistics, psychometrics, and family sciences. Each chapter exposes the reader to some of the latest methodological developments and perspectives in the analysis of longitudinal data, and is written in a didactic tone that makes the content accessible to the broader research community. This volume will be particularly appealing to researchers in domains including, but not limited to: human development, clinical psychology, educational psychology, school psychology, special education, epidemiology, family science, kinesiology, communication disorders, and education policy and administration. The book will also be attractive to members of several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Adolescence (SRA), the Society of Research in Child Development (SRCD), Society for Research in Adult Development (SRAD), British Psychological Society (BPS), Canadian Psychological Association (CPA), and other related organizations.

Applied Latent Class Analysis

Jacques A. Hagenaars,Allan L. McCutcheon
Applied Latent Class Analysis Book PDF

Author : Jacques A. Hagenaars,Allan L. McCutcheon
Publisher : Cambridge University Press
Page : 478 pages
File Size : 55,8 Mb
Release : 2002-06-24
Category : Social Science
ISBN : 9781139439237

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Applied Latent Class Analysis by Jacques A. Hagenaars,Allan L. McCutcheon Pdf

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.

Psychometrics and Psychological Assessment

Carina Coulacoglou,Donald H. Saklofske
Psychometrics and Psychological Assessment Book PDF

Author : Carina Coulacoglou,Donald H. Saklofske
Publisher : Academic Press
Page : 500 pages
File Size : 43,7 Mb
Release : 2017-06-19
Category : Education
ISBN : 9780128024904

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Psychometrics and Psychological Assessment by Carina Coulacoglou,Donald H. Saklofske Pdf

Psychometrics and Psychological Assessment: Principles and Applications reports on contemporary perspectives and models on psychological assessment and their corresponding measures. It highlights topics relevant to clinical and neuropsychological domains, including cognitive abilities, adaptive behavior, temperament, and psychopathology.Moreover, the book examines a series of standard as well as novel methods and instruments, along with their psychometric properties, recent meta-analytic studies, and their cross-cultural applications. Discusses psychometric issues and empirical studies that speak to same Explores the family context in relation to children’s behavioral outcomes Features major personality measures as well as their cross cultural variations Identifies the importance of coping and resilience in assessing personality and psychopathology Examines precursors of aggression and violence for prediction and prevention