Longitudinal Research With Latent Variables

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Longitudinal Research with Latent Variables

Author : Kees van Montfort,Johan H.L. Oud,Albert Satorra
Publisher : Springer Science & Business Media
Page : 311 pages
File Size : 47,5 Mb
Release : 2010-05-17
Category : Mathematics
ISBN : 9783642117602

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Longitudinal Research with Latent Variables by Kees van Montfort,Johan H.L. Oud,Albert Satorra Pdf

Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk ̈ og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences. Indeed, the central va- ables that social and behavioural theories deal with, can hardly ever be identi?ed as observed variables. Statistical modelling has to take account of measurement - rors and invalidities in the observed variables and so address the underlying latent variables. Moreover, during the past decades it has been widely agreed on that serious causal modelling should be based on longitudinal data. It is especially in the ?eld of longitudinal research and analysis, including panel research, that progress has been made in recent years. Many comprehensive panel data sets as, for example, on human development and voting behaviour have become available for analysis. The number of publications based on longitudinal data has increased immensely. Papers with causal claims based on cross-sectional data only experience rejection just for that reason.

Problems and Methods in Longitudinal Research

Author : David Magnusson
Publisher : Cambridge University Press
Page : 372 pages
File Size : 47,6 Mb
Release : 1994-03-24
Category : Medical
ISBN : 0521467322

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Problems and Methods in Longitudinal Research by David Magnusson Pdf

An analysis of data treatment methodology for longitudinal research studies.

Longitudinal Data Analysis

Author : Catrien C J H Bijleveld,Leo van der Kamp
Publisher : SAGE Publications Limited
Page : 452 pages
File Size : 55,5 Mb
Release : 1998
Category : Computers
ISBN : UOM:39015046000561

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Longitudinal Data Analysis by Catrien C J H Bijleveld,Leo van der Kamp Pdf

All the main approaches to longitudinal data analysis are covered in this guide that enables the reader to understand and choose an appropriate technique when dealing with a specific research problem.

Longitudinal Structural Equation Modeling

Author : Todd D. Little
Publisher : Guilford Publications
Page : 642 pages
File Size : 40,8 Mb
Release : 2023-12-27
Category : Business & Economics
ISBN : 9781462553143

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Longitudinal Structural Equation Modeling by Todd D. Little Pdf

Beloved for its engaging, conversational style, this valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM. Emphasizing a decision-making approach, leading methodologist Todd D. Little describes the steps of modeling a longitudinal change process. He explains the big picture and technical how-tos of using longitudinal confirmatory factor analysis, longitudinal panel models, and hybrid models for analyzing within-person change. User-friendly features include equation boxes that translate all the elements in every equation, tips on what does and doesn't work, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for the examples--including studies of bullying and victimization, adolescents' emotions, and healthy aging--along with syntax and output, chapter quizzes, and the book’s figures. New to This Edition: *Chapter on missing data, with a spotlight on planned missing data designs and the R-based package PcAux. *Chapter on longitudinal mixture modeling, with Whitney Moore. *Chapter on the random intercept cross-lagged panel model (RI-CLPM), with Danny Osborne. *Chapter on Bayesian SEM, with Mauricio Garnier. *Revised throughout with new developments and discussions, such as how to test models of experimental effects.

Longitudinal Data Analysis

Author : Jason Newsom,Richard N. Jones,Scott M. Hofer
Publisher : Routledge
Page : 409 pages
File Size : 50,8 Mb
Release : 2013-06-19
Category : Psychology
ISBN : 9781136705465

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Longitudinal Data Analysis by Jason Newsom,Richard N. Jones,Scott M. Hofer Pdf

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Generalized Latent Variable Modeling

Author : Anders Skrondal,Sophia Rabe-Hesketh
Publisher : CRC Press
Page : 528 pages
File Size : 53,9 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

Statistical Methods in Longitudinal Research

Author : Alexander von Eye
Publisher : Elsevier
Page : 352 pages
File Size : 52,8 Mb
Release : 1990-11-16
Category : Mathematics
ISBN : 9780080926414

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Statistical Methods in Longitudinal Research by Alexander von Eye Pdf

These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.

Statistical Methods in Longitudinal Research

Author : Alexander von Eye
Publisher : Elsevier
Page : 289 pages
File Size : 51,6 Mb
Release : 2014-06-28
Category : Mathematics
ISBN : 9781483297958

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Statistical Methods in Longitudinal Research by Alexander von Eye Pdf

These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.

Longitudinal Multivariate Psychology

Author : Emilio Ferrer,Steven M. Boker,Kevin J. Grimm
Publisher : Routledge
Page : 367 pages
File Size : 55,8 Mb
Release : 2018-10-09
Category : Psychology
ISBN : 9781351662727

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Longitudinal Multivariate Psychology by Emilio Ferrer,Steven M. Boker,Kevin J. Grimm Pdf

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

Handbook of Longitudinal Research

Author : Scott Menard
Publisher : Elsevier
Page : 680 pages
File Size : 49,8 Mb
Release : 2007-10-11
Category : Education
ISBN : 0080554229

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Handbook of Longitudinal Research by Scott Menard Pdf

Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis. Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice. As the comprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level. Contributors and subject areas are interdisciplinary to reach the broadest possible audience (i.e., psychology, epidemiology, and economics research fields) Summary material will be included for less sohisticated readers Extensive coverage is provided of traditional advanced topics

Longitudinal Data Analysis

Author : Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs
Publisher : CRC Press
Page : 633 pages
File Size : 40,9 Mb
Release : 2008-08-11
Category : Mathematics
ISBN : 9781420011579

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Longitudinal Data Analysis by Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs Pdf

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

Data Quality in Longitudinal Research

Author : David Magnusson,Lars R. Bergman
Publisher : Cambridge University Press
Page : 302 pages
File Size : 55,9 Mb
Release : 1990
Category : Medical
ISBN : 052138091X

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Data Quality in Longitudinal Research by David Magnusson,Lars R. Bergman Pdf

This overview of the central issues of data quality in longitudinal research focuses on data relevant for studying individual development. The topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method. More specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavor by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.

Longitudinal Research

Author : F. Schulsinger,Sarnoff A. Mednick,J. Knop
Publisher : Springer Science & Business Media
Page : 326 pages
File Size : 51,8 Mb
Release : 2012-12-06
Category : Social Science
ISBN : 9789400981478

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Longitudinal Research by F. Schulsinger,Sarnoff A. Mednick,J. Knop Pdf

This volume is the product of a course on longitudinal prospective re search arranged by the three editors in Arhus, Denmark, in 1978. The course was supported by the Nordisk Kulturfond for young researchers from the Nordic countries, who had planned or had simply involved themselves in longitudinal prospective research projects of various kinds. The twenty-six participants represented a wide range of professions: statisticians, psychologists, psychiatrists, nutritionists, and public health researchers. The teachers came from many countries and represented many disciplines. The course was very successful, especially from the point of view of the quality and investment of the teachers. We felt also that the course met a strong need in this relatively new field of research. Therefore, we asked the teachers to prepare written versions of their lectures so that they could have wider dissemination; they agreed to do so. The present book is composed of these contributions. The first chap ter, after outlining some of the problems with traditional strategies in mental health research, goes on to suggest some of the possible preven tive applications of longitudinal research methods. Included in Parts II and III are papers on design problems and on the tools of long-term research, such as genetics and classification, biological measurements, epidemiological guidelines, statistical models, disease registers, and de velopmental psychology.

Longitudinal Models in the Behavioral and Related Sciences

Author : Kees van Montfort,Johan Oud,Albert Satorra
Publisher : Routledge
Page : 480 pages
File Size : 51,6 Mb
Release : 2017-09-29
Category : Education
ISBN : 9781351559744

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Longitudinal Models in the Behavioral and Related Sciences by Kees van Montfort,Johan Oud,Albert Satorra Pdf

This volume reviews longitudinal models and analysis procedures for use in the behavioral and social sciences. Written by distinguished experts in the field, the book presents the most current approaches and theories, and the technical problems that may be encountered along the way. Readers will find new ideas about the use of longitudinal analysis in solving problems that arise due to the specific nature of the research design and the data available. Longitudinal Models in the Behavioral and Related Sciences opens with the latest theoretical developments. In particular, the book addresses situations that arise due to the categorical nature of the data, issues related to state space modeling, and potential problems that may arise from network analysis and/or growth-curve data. The focus of part two is on the application of longitudinal modeling in a variety of disciplines. The book features applications such as heterogeneity on the patterns of a firm’s profit, on house prices, and on delinquent behavior; non-linearity in growth in assessing cognitive aging; measurement error issues in longitudinal research; and distance association for the analysis of change. Part two clearly demonstrates the caution that should be taken when applying longitudinal modeling as well as in the interpretation of the results. This new volume is ideal for advanced students and researchers in psychology, sociology, education, economics, management, medicine, and neuroscience.

Longitudinal Structural Equation Modeling with Mplus

Author : Christian Geiser
Publisher : Guilford Publications
Page : 370 pages
File Size : 43,7 Mb
Release : 2020-10-07
Category : Social Science
ISBN : 9781462546411

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Longitudinal Structural Equation Modeling with Mplus by Christian Geiser Pdf

An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples.