Search results for: longitudinal-analysis

Applied Longitudinal Analysis

Author : Garrett M. Fitzmaurice
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Praise for the First Edition ". . . [this book] should be on the shelf of everyone interestedin . . . longitudinal data analysis." —Journal of the American Statistical Association Features newly developed topics and applications of theanalysis of longitudinal data Applied Longitudinal Analysis, Second Edition presentsmodern methods for analyzing data from longitudinal studies and nowfeatures the latest state-of-the-art techniques. The bookemphasizes practical, rather than theoretical, aspects of methodsfor the analysis of diverse types of longitudinal data that can beapplied across various fields of study, from the health and medicalsciences to the social and behavioral sciences. The authors incorporate their extensive academic and researchexperience along with various updates that have been made inresponse to reader feedback. The Second Edition features six newlyadded chapters that explore topics currently evolving in the field,including: Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effectsmodels Multiple imputation and inverse probability weightedmethods Smoothing methods for longitudinal data Sample size and power Each chapter presents methods in the setting of applications todata sets drawn from the health sciences. New problem sets havebeen added to many chapters, and a related website features sampleprograms and computer output using SAS, Stata, and R, as well asdata sets and supplemental slides to facilitate a completeunderstanding of the material. With its strong emphasis on multidisciplinary applications andthe interpretation of results, Applied LongitudinalAnalysis, Second Edition is an excellent book for courses onstatistics in the health and medical sciences at theupper-undergraduate and graduate levels. The book also serves as avaluable reference for researchers and professionals in themedical, public health, and pharmaceutical fields as well as thosein social and behavioral sciences who would like to learn moreabout analyzing longitudinal data.

Longitudinal Analysis

Author : Lesa Hoffman
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Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. Written for non-mathematically-oriented readers, this text features: A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data An emphasis on how the terminology, interpretation, and estimation of familiar general linear models relates to those of more complex models for longitudinal data Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers’ understanding of the overall model-building process Sample results sections for each example to provide useful templates for published reports Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus at www.PilesOfVariance.com to help readers apply the models to their own data The book opens with the building blocks of longitudinal analysis—general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data. Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book’s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.

Analysis of Longitudinal Data

Author : Peter Diggle
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The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.

Longitudinal Data Analysis

Author : Garrett Fitzmaurice
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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 and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data. After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines. Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.

Longitudinal Data Analysis

Author : Jason Newsom
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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.

Applied Longitudinal Data Analysis for Epidemiology

Author : Jos W. R. Twisk
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A practical guide to longitudinal data analysis in medical research and epidemiology.

Longitudinal Data Analysis for the Behavioral Sciences Using R

Author : Jeffrey D. Long
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This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted.

Return Migration from Sweden 1968 1996

Author : Martin Klinthall
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"Return migration is one of the least studied areas within migration research, although it has major implications for both sending and receiving societies. The importance of the phenomenon is shown by the fact that more than 50 percent of the immigrants wh"

Amsterdam Growth and Health Longitudinal Study AGAHLS

Author : Han C. G. Kemper
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A unique observational long-term study In a long follow-up period of 23 years about 600 teenagers were observed till their young adult age in order to investigate the longitudinal relationship between health and lifestyles considering physical activity, diet, smoking and alcohol consumption. Longitudinal studies with a follow-up lasting for a quarter of a century are very rare and the Amsterdam Growth and Health Longitudinal Study (AGAHLS) is indeed unique among them. The focus is multidisciplinary and involves both physical and psychological determinants in relation to a wide range of health outcomes. The multiple measurements were carefully standardized in nine waves of data collection, thus producing a high-quality data set, which has been analyzed by the application of advanced statistical techniques. The monograph provides not only an overview of 23 years of follow-up, it also summarizes over 200 scientific publications and 10 PhD theses. This publication is especially recommended to investigators planning longitudinal research, to health workers, and to authorities who like to implement health promotional activities in their community.

The Effect of Unions on the Structure of Wages

Author : David Edward Card
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Parent child Resemblance Over the Life Course

Author : Avshalom Caspi
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Beginning Postsecondary Students Longitudinal Study 1996 2001 BPS 1996 2001

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"Report describes the methods and procedures used for the full-scale data collection effort of the Beginning Postsecondary Students Second Follow-up Study 1996-2001 (BPS:1996/2001)"--P. vii.

Wage Growth Rates of Young Men

Author : Choongsoo Kim
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The Rhythm of Change

Author : Prof. Dr. Patricia Klarner
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Patricia Klarner adopts a new approach to analyze strategic changes and introduces the rhythm of change as a concept that measures the timing of repeated changes. She provides a state-of-the-art view of the optimal timing of strategic changes in organizations and the factors underlying successful repeated change efforts.

A Longitudinal Analysis of Logical Reasoning Relationships

Author : Thomas A. Toniolo
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Longitudinal Data Analysis

Author : Toon Taris
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This accessible introduction to the theory and practice of longitudinal research takes the reader through the strengths and weaknesses of this kind of research, making clear: how to design a longitudinal study; how to collect data most effectively; how to make the best use of statistical techniques; and how to interpret results. Although the book provides a broad overview of the field, the focus is always on the practical issues arising out of longitudinal research. This book supplies the student with all that they need to get started and acts as a manual for dealing with opportunities and pitfalls. It is the ideal primer for this growing area of social research.

Beginning postsecondary students longitudinal study first follow up 1996 98 BPS 96 98

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Health Disability Caring and Employment

Author : Adele Atkinson
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This study examines the variations in labour force participation among those with long term ill health, disability or caring commitments in Great Britain. It explores the relationships between employment, parenthood, family structure, health, disability, and life stage transitions. The study draws upon data from the Families and Children Study, the British Household Panel Survey, and the Millennium Cohort Study.

Longitudinal Analysis of Labor Market Data

Author : James J. Heckman
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Longitudinal Analysis of Labor Market Data presents a set of papers by leading scholars on methods for analysing the longitudinal data that is available on numerous topics of interest to social scientists. Because many sources of longitudinal data record labour market phenomena such as unemployment, labour supply, earnings mobility, job turnover and participation in training programmes, all of the papers collected in this volume focus on models of the labour market. The main methodological points, however, are more general and apply to such diverse areas as demography, life science analysis and training evaluation, to name only a few, potential avenues of application. The book contains important methodological contributions to the emerging field of longitudinal analysis and is of interest to a wide range of social scientists.

Beginning Postsecondary Students Longitudinal Study Second Follow up BPS 90 94

Author : Daniel J. Pratt
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This document provides a summary and evaluation of the methodological procedures and results of the full-scale implementation of the Beginning Postsecondary Student Longitudinal Study Second Follow-up, 1990-94 (BPS:90/94). The study was conducted for the National Center for Education Statistics by Research Triangle Institute with the assistance of Abt Associations and Management Planning Research Associates. BPS:90/94 involved locating and computer-assisted telephone interviewing of a sample of individuals identified initially in the 1990 National Postsecondary Student Aid Study. An introductory chapter provides a brief overview of the background, purposes, and scheduled projects of the BPS:90/94 full-scale study. Chapter 2 describes the design and method of the study, including sample design, respondent locating, data collection, and design of the operating control system. Chapter 3 presents the results of the locating and data collection, and Chapter 4 evaluates the quality of the data collected. The final three chapters present issues related to the construction of the study data file, sample weighting, and estimation techniques. Six appendixes describe the survey review panel membership and present student prenotification materials, the interview instruments, data collection materials, supplemental analytic results, and the variables used for design effects tables. (Contains 13 figures and 55 tables.) (SLD)