April 17, 2021

Download Ebook Free Handbook Of Latent Variable And Related Models

Handbook of Latent Variable and Related Models

Handbook of Latent Variable and Related Models
Author : Anonim
Publisher : Elsevier
Release Date : 2011-08-11
Category : Mathematics
Total pages :458
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This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.

Structural Equation Modeling

Structural Equation Modeling
Author : Sik-Yum Lee
Publisher : John Wiley & Sons
Release Date : 2007-04-04
Category : Mathematics
Total pages :458
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***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Structural Equation Modeling introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject’s recent advances. Demonstrates how to utilize powerful statistical computing tools, including the Gibbs sampler, the Metropolis-Hasting algorithm, bridge sampling and path sampling to obtain the Bayesian results. Discusses the Bayes factor and Deviance Information Criterion (DIC) for model comparison. Includes coverage of complex models, including SEMs with ordered categorical variables, and dichotomous variables, nonlinear SEMs, two-level SEMs, multisample SEMs, mixtures of SEMs, SEMs with missing data, SEMs with variables from an exponential family of distributions, and some of their combinations. Illustrates the methodology through simulation studies and examples with real data from business management, education, psychology, public health and sociology. Demonstrates the application of the freely available software WinBUGS via a supplementary website featuring computer code and data sets. Structural Equation Modeling: A Bayesian Approach is a multi-disciplinary text ideal for researchers and students in many areas, including: statistics, biostatistics, business, education, medicine, psychology, public health and social science.

Handbook of Structural Equation Modeling

Handbook of Structural Equation Modeling
Author : Rick H. Hoyle
Publisher : Guilford Press
Release Date : 2012-06-01
Category : Social Science
Total pages :740
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"This handbook offers comprehensive coverage of structural equation modeling (SEM), beginning with background issues, continuing through statistical underpinnings and steps in implementation, then moving into basic and advanced applications of SEM. In a single volume, it offers virtually complete coverage of SEM and its use"--

Latent Variable Modeling Using R

Latent Variable Modeling Using R
Author : A. Alexander Beaujean
Publisher : Routledge
Release Date : 2014-05-09
Category : Psychology
Total pages :218
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This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R. Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate R functions, packages, and datasets. The book and accompanying website at http://blogs.baylor.edu/rlatentvariable/ provides all of the data for the book’s examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values. The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter’s exercises. Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.

Handbook of Advanced Multilevel Analysis

Handbook of Advanced Multilevel Analysis
Author : Joop Hox,J. Kyle Roberts
Publisher : Routledge
Release Date : 2011-01-11
Category : Psychology
Total pages :408
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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.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

The SAGE Handbook of Quantitative Methodology for the Social Sciences
Author : David Kaplan
Publisher : SAGE Publications
Release Date : 2004-06-21
Category : Social Science
Total pages :528
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The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

The Oxford Handbook of Developmental and Life-Course Criminology

The Oxford Handbook of Developmental and Life-Course Criminology
Author : David P. Farrington,Lila Kazemian,Alex R. Piquero
Publisher : Oxford Handbooks
Release Date : 2018-12-19
Category : Social Science
Total pages :800
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Developmental and life-course criminology are both concerned with the study of changes in offending and problem behaviors over time. Developmental studies in criminology focus on psychological factors that influence the onset and persistence of criminal behavior, while life-course studies analyze how changes in social arrangements, like marriage, education or social networks, can lead to changes in offending. Though each perspective is clearly concerned with patterns of offending and problem behavior over time, the literature on each is spread across various disciplines, including criminology & criminal justice, psychology, and sociology. The Oxford Handbook on Developmental and Life-Course Criminology offers the first comprehensive survey of these two approaches together. Edited by three noted authorities in the field, the volume provides in-depth critical reviews of the development of offending, developmental and life-course theories, development correlates and risk/protective factors, life transitions and turning points, and effective developmental interventions from the world's leading scholars. In the first two sections, the contributors provide overviews of specific criminal career parameters, including age-crime curve, prevalence/frequency of offending, and co-offending, and review the main theoretical frameworks in the developmental and life-course criminology areas. They further summarize some of the empirical literature on known developmental correlates and risk/protective factors associated with longitudinal patterns of offending in the next section. The fourth section focuses on life transitions and turning points as they may relate to persistence in-or desistance from-criminal activity into adulthood, while the final section examines the genesis of antisocial, delinquent, and criminal activity, its maintenance, and its cessation. A state of the art overview on the topic, this Handbook aims to be the most authoritative resource on all issues germane to developmental and life-course criminologists and provides next steps for further research.

The Cambridge Handbook of Research Methods in Clinical Psychology

The Cambridge Handbook of Research Methods in Clinical Psychology
Author : Aidan G. C. Wright,Michael N. Hallquist
Publisher : Cambridge University Press
Release Date : 2020-01-31
Category : Psychology
Total pages :129
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This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists.

Application of Structural Equation Modeling in Educational Research and Practice

Application of Structural Equation Modeling in Educational Research and Practice
Author : Myint Swe Khine
Publisher : Springer Science & Business Media
Release Date : 2013-10-30
Category : Education
Total pages :291
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Structural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.

Applied Structural Equation Modeling using AMOS

Applied Structural Equation Modeling using AMOS
Author : Joel E. Collier
Publisher : Routledge
Release Date : 2020-05-25
Category : Psychology
Total pages :354
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This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.

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

The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2
Author : Todd D. Little
Publisher : Oxford University Press
Release Date : 2013-03-21
Category : Medical
Total pages :736
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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.

Handbook of Partial Least Squares

Handbook of Partial Least Squares
Author : Vincenzo Esposito Vinzi,Wynne W. Chin,Jörg Henseler,Huiwen Wang
Publisher : Springer Science & Business Media
Release Date : 2010-03-10
Category : Mathematics
Total pages :798
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This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. The handbook serves both as an introduction for those without prior knowledge of PLS and as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

The Oxford Handbook of Personality and Social Psychology

The Oxford Handbook of Personality and Social Psychology
Author : Kay Deaux,Mark Snyder
Publisher : Oxford Library of Psychology
Release Date : 2018
Category : Psychology
Total pages :992
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Personality and social psychology : moving toward a more perfect union / Mark Snyder and Kay Deaux -- Foundations of personality and social psychology -- The intertwined histories of personality and social psychology / Thomas F. Pettigrew -- Perspectives on the person: rapid growth and opportunities for integration / William Fleeson and Eranda Jayawickreme -- Perspectives on the situation / Harry T. Reis and John G. Holmes -- Neuroscience approaches in social and personality psychology / David M. Amodio, Eddie Harmon-Jones, and Elliot T. Berkman -- Evolutionary perspectives / Steven W. Gangestad -- Context in person, person in context : a cultural psychology approach to social-personality psychology / Glenn Adams and Tugçe Kurtis -- Behavior and behavior assessment / Janice R. Kelly and Christopher R. Agnew -- Conceptual and methodological issues in the analysis of cross-sectional and longitudinal dyadic data / Deborah A. Kashy and M. Brent Donellan -- Multilevel modeling in personality and social psychology / Oliver Christ, Christopher G. Sibley, and Ulrich Wagner -- Basic processes of personality and social psychology -- The self : dynamics of persons and their situations / Jennifer Crocker and Eddie Brummelman -- Identity : personal and social / Vivian L. Vignoles -- Morality / Jesse Graham and Piercarlo Valdesolo -- Motivation and goal pursuit : integration across the social/personality divide / Julie K. Norem -- Five questions about emotion: implications for social-personality psychology / Gerald L. Clore and Michael D. Robinson -- Cybernetic approaches to personality and social behavior / Colin G. DeYoung and Yanna J. Weisberg -- Initial impressions of others / James S. Uleman and S. Adil Saribay -- Attitudes and attitude change : social and personality considerations about specific and general patterns of behavior / Dolores Albarracin, Man-pui Sally Chan, and Duo Jiang -- From help-giving to helping relations : belongingness and independence in social interactions / Arie Nadler -- Antisocial behavior in individuals and groups : an empathy-focused approach / Emanuele Castano and David C. Kidd -- Personality and social interaction : interpenetrating processes / Rodolfo Mendoza-Denton, Jordan B. Leitner, and Ozlem Ayduk -- Attachment theory expanded : a behavioral systems approach to personality and social behavior / Mario Mikulincer and Phillip R. Shaver -- Person-by-situation perspectives on close relationships / Jeffry A. Simpson and Heike A. Winterheld -- Personality influences on group processes : the past, present, and future / Craig D. Parks -- Intergroup processes : from prejudice to positive relations between groups / Linda R.Tropp and Ludwin E. Molina -- Power as active self : from acquisition to the expression and use of power / Ana Guinote and Serena Chen -- Personality and social psychology in key life domains -- Personality, social psychology, and psychopathology : reflections on a lewinian vsion / Philip R. Costanzo, Rick H. Hoyle, and Mark R. Leary -- Individual and societal well-being / Shigehiro Oishi and Samantha J. Heintzelman -- Multicultural identity and experiences : cultural, social, and personality processes / Verónica Benet-Martínez and Angela-MinhTu D. Nguyen -- Personality and social contexts as sources of change and continuity across the life span / Abigail J. Stewart and Kay Deaux -- The social psychology of personality and leadership : a person-in-situation perspective / Daan van Knippenberg -- Work and organizations: contextualizing personality and social psychology / Deidra J. Schleicher and David V. Day -- A person x intervention strategy approach to understanding health behavior / Alexander J. Rothman and Austin S. Baldwin -- Forensic personality and social psychology / Saul Kassin and Margaret Bull Kovera -- The psychology of collective action / Lauren E. Duncan -- Social policy: barriers and opportunities for personality and social psychology / Allen M. Omoto -- Conclusion -- Personality and social psychology : the evolving state of the union / Kay Deaux and Mark Snyder

Generalized Structured Component Analysis

Generalized Structured Component Analysis
Author : Heungsun Hwang,Yoshio Takane
Publisher : CRC Press
Release Date : 2014-12-11
Category : Mathematics
Total pages :342
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Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to alternative specifications, and conduct complex analyses in a straightforward manner. Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling provides a detailed account of this novel statistical methodology and its various extensions. The authors present the theoretical underpinnings of generalized structured component analysis and demonstrate how it can be applied to various empirical examples. The book enables quantitative methodologists, applied researchers, and practitioners to grasp the basic concepts behind this new approach and apply it to their own research. The book emphasizes conceptual discussions throughout while relegating more technical intricacies to the chapter appendices. Most chapters compare generalized structured component analysis to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer a free, online software program (GeSCA) and an Excel-based software program (XLSTAT) for implementing the basic features of generalized structured component analysis.

The Oxford Handbook of Adolescent Substance Abuse

The Oxford Handbook of Adolescent Substance Abuse
Author : Robert A. Zucker,Sandra A. Brown
Publisher : Oxford University Press, USA
Release Date : 2019
Category : Psychology
Total pages :856
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Adolescent substance abuse is the nation's #1 public health problem. It originates out of a developmental era where experimentation with the world is increasingly taking place, and where major changes in physical self and social relationships are taking place. These changes cannot be understood by any one discipline nor can they be described by focusing only on the behavioral and social problems of this age period, the characteristics of normal development, or the pharmacology and addictive potential of specific drugs. They require knowledge of the brain's systems of reward and control, genetics, psychopharmacology, personality, child development, psychopathology, family dynamics, peer group relationships, culture, social policy, and more. Drawing on the expertise of the leading researchers in this field, this Handbook provides the most comprehensive summarization of current knowledge about adolescent substance abuse. The Handbook is organized into eight sections covering the literature on the developmental context of this life period, the epidemiology of adolescent use and abuse, similarities and differences in use, addictive potential, and consequences of use for different drugs; etiology and course as characterized at different levels of mechanistic analysis ranging from the genetic and neural to the behavioural and social. Two sections cover the clinical ramifications of abuse, and prevention and intervention strategies to most effectively deal with these problems. The Handbook's last section addresses the role of social policy in framing the problem, in addressing it, and explores its potential role in alleviating it.