Models for Intensive Longitudinal Data by Theodore A. Walls (English) Hardcover

Description: Models for Intensive Longitudinal Data by Theodore A. Walls, Joseph L. Schafer A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data(ILD). This volume features state-of-the-art applied statistical modeling strategies developed by leading statisticians and methodologists working in conjunction with behavioral scientists. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence thestatistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists workingon ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting andapplying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing ofmeasurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designing new studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in a range of fields. A companion Web site at contains program examples and documentation. Author Biography Theodore A. Walls, Ph.D., is Professor of Psychology at the University of Rhode Island. As a research scientist at The Methodology Center at The Pennsylvania State University, Dr. Walls developed methods for the analysis of intensive longitudinal data and convened the international study group whose work led to the publication of this volume. His current work is focused on the development of models reflecting dynamic intraindividual processes.Joseph L. Schafer, Ph.D., is Associate Professor of Statistics and an Investigator at The Methodology Center at The Pennsylvania State University. Dr. Schafer has developed techniques for analyzing incomplete data and incorporating missing-data uncertainty into statistical inference. His areas of research also include latent-class and latent transition analysis, nonsampling errors in surveys and censuses, strategies for statistical computing and software development, andstatistical methods for casual inference. Table of Contents Introduction: Intensive Longitudinal DataTheodore A. Walls and Joseph L. Schafer:1: Theodore A. Walls, Hyekyung Jung, and Joseph E. Schwartz: Multilevel Models for Intensive Longitudinal Data2: Joseph L. Schafer: Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations3: Runze Li, Tammy L. Root, and Saul Shiffman: A Local Linear Estimation Procedure for Functional Multilevel Modeling4: Donald Hedeker, Robin J. Mermelstein, and Brian R. Flay: Application of Item Response Theory Models for Intensive Longitudinal Data5: Carlotta Ching Ting Fok and James O. Ramsay: Periodic Trends, Non-periodic Trends, and their Interactions in Longitudinal or Functional Data6: Michael J. Rovine and Theodore A. Walls: Multilevel Autoregressive Modeling of Interindividual Differences in the Regularity of a Process7: Moon-Ho Ringo Ho, Robert Shumway, and Hernando Ombao: The State-Space Approach to Modeling Dynamic Processes8: James O. Ramsay: The Control of Behavioral Input/Output Systems9: Steven M. Boker and Jean-Phillippe Laurenceau: Dynamical Systems Modeling: An Application to the Regulation of Intimacy and Disclosure in Marriage10: Stephen L. Rathbun, Saul Shiffman, and Chad J. Gwaltney: Point Process Models for Event History Data: Applications ion the Behavioral Science11: Sarah M. Nusser, Stephen S. Intille, and Ranjan Maitra: Emerging Technologies and Next Generation Intensive Longitudinal Data Collection Review "The topics covered and the multidisciplinary authors make it appealing to a very wide range of researchers in statistics and the social and behavioral sciences."-- Technometrics"Walls and Schafer have compiled a most interesting and practical volume on methods of analysis of what they call Intensive Longitudinal Data--data from more than just three or four observation waves. This book is interesting because it shows that new and unusual hypotheses can be addressed to complex data, and practical because the methods discussed and proposed are applicable and programs will run on regular PCs. The topics addressed and themultidisciplinary authors make this volume appealing to a very wide readership in biostatistics and the social and behavioral sciences. This is a groundbreaking book for the emerging field of statistical modeling ofintensive longitudinal data!"--Alexander von Eye, Professor of Psychology, Michigan State University"From Palm Pilots to wearable computers to GPS monitors, modern technology is allowing todays empirical researchers to generate vast quantities of longitudinal data quickly and easily. But how should these data be analyzed? Models for Intensive Longitudinal Data provides a wonderful overview of the wide array of new analytic options...a hitchhikers guide to an exciting new galaxy in longitudinal data analysis."--Judith D. Singer, James BryantConant Professor of Education, Harvard Graduate School of Education."Intensive longitudinal data is a fascinating and burgeoning field of statistical endeavor. MILD is a spicy introduction to a colorful subject."--Robert E. Weiss, Professor of Biostatistics, UCLA School of Public Health"Clearly, the doors to an exciting line of research and application have been opened. The editors did an excellent job, making sure the number of errors is minimal, the level of exposition is comparable over the chapters, and chapters cross-reference each other where meaningful. It is not very often that researchers detect a niche and go successfully about establishing and filling it. Walls and Schafer have accomplished this task."--Alexander von Eye,Structural Equation Modeling: A Multidisciplinary Journal"Although this volume will be of greatest value to quantitatively oriented researchers in psychology and other areas of social science, I also recommend it to the statisticians and anyone else interested in the collection and analysis of ILD.--Journal of the American Statistical Association"I recommend it highly and hazard the opinion that sociologists, demographers, and related social scientists will develop their own companions to this volume in future years."--American Journal of Sociology"[Models for Intensive Longitudinal Data] addresses most of the researchers in the behavioral and related sciences, such as psychology, sociology, education, economics, management, and medical sciences. The book also addresses methodologists and statisticians, who are professionally dealing with longitudinal analysis, to enhance their knowledge of the type of model covered and the technical problems involved in their formulation. In addition, the bookoffers applied researchers new ideas about the use of longitudinal analysis in solving their problems."--Psychometrika"The topics covered and the multidisciplinary authors make it appealing to a very wide range of researchers in statistics and the social and behavioral sciences."-- Technometrics"Walls and Schafer have compiled a most interesting and practical volume on methods of analysis of what they call intensive longitudinal data--data from more than just three or four observation waves. The book is interesting because it shows that new and unusual hypotheses can be addressed to complex data, and practical because the methods discussed and proposed are applicable and programs will run on regular PCs. The topics addressed and themultidisciplinary authors make this volume appealing to a very wide readership in biostatistics and the social and behavioral sciences. This is a groundbreaking book for the emerging field of statistical modeling ofintensive longitudinal data!"--Alexander von Eye, Professor of Psychology, Michigan State University"From Palm Pilots to wearable computers to GPS monitors, modern technology is allowing todays empirical researchers to generate vast quantities of longitudinal data quickly and easily. But how should these data be analyzed? Models for Intensive Longitudinal Data provides a wonderful overview of the wide array of new analytic options...a hitchhikers guide to an exciting new galaxy in longitudinal data analysis."--Judith D. Singer, James BryantConant Professor of Education, Harvard Graduate School of Education."Intensive longitudinal data is a fascinating and burgeoning field of statistical endeavor. MILD is a spicy introduction to a colorful subject."--Robert E. Weiss, Professor of Biostatistics, UCLA School of Public Health"Clearly, the doors to an exciting line of research and application have been opened. The editors did an excellent job, making sure the number of errors is minimal, the level of exposition is comparable over the chapters, and chapters cross-reference each other where meaningful. It is not very often that researchers detect a niche and go successfully about establishing and filling it. Walls and Schafer have accomplished this task."--Alexander von Eye,Structural Equation Modeling: A Multidisciplinary Journal"I recommend it highly and hazard the opinion that sociologists, demographers, and related social scientists will develop their own companions to this volume in future years."--American Journal of Sociology"[Models for Intensive Longitudinal Data] addresses most of the researchers in the behavioral and related sciences, such as psychology, sociology, education, economics, management, and medical sciences. The book also addresses methodologists and statisticians, who are professionally dealing with longitudinal analysis, to enhance their knowledge of the type of model covered and the technical problems involved in their formulation. In addition, the bookoffers applied researchers new ideas about the use of longitudinal analysis in solving their problems."--Psychometrika Promotional This volume features state-of-the-art applied statistical modeling strategies developed by leading statisticians and methodologists working in conjunction with behavioral scientists. Long Description Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence thestatistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists working on ILD in conjunction with behavioral scientists. Chapters present applications from across thebehavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting and applying a given model. The chapters highlight issues of general concern in modeling these kinds ofdata, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing of measurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designingnew studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in a range of fields. A companion Web site at contains program examples and documentation. Review Text "The topics covered and the multidisciplinary authors make it appealing to a very wide range of researchers in statistics and the social and behavioral sciences."-- Technometrics"Walls and Schafer have compiled a most interesting and practical volume on methods of analysis of what they call Intensive Longitudinal Data--data from more than just three or four observation waves. This book is interesting because it shows that new and unusual hypotheses can be addressed to complex data, and practical because the methods discussed and proposed are applicable and programs will run on regular PCs. The topics addressed and themultidisciplinary authors make this volume appealing to a very wide readership in biostatistics and the social and behavioral sciences. This is a groundbreaking book for the emerging field of statistical modeling of intensive longitudinal data!"--Alexander von Eye, Professor of Psychology, Michigan StateUniversity"From Palm Pilots to wearable computers to GPS monitors, modern technology is allowing todays empirical researchers to generate vast quantities of longitudinal data quickly and easily. But how should these data be analyzed? Models for Intensive Longitudinal Data provides a wonderful overview of the wide array of new analytic options...a hitchhikers guide to an exciting new galaxy in longitudinal data analysis."--Judith D. Singer, James BryantConant Professor of Education, Harvard Graduate School of Education."Intensive longitudinal data is a fascinating and burgeoning field of statistical endeavor. MILD is a spicy introduction to a colorful subject."--Robert E. Weiss, Professor of Biostatistics, UCLA School of Public Health"Clearly, the doors to an exciting line of research and application have been opened. The editors did an excellent job, making sure the number of errors is minimal, the level of exposition is comparable over the chapters, and chapters cross-reference each other where meaningful. It is not very often that researchers detect a niche and go successfully about establishing and filling it. Walls and Schafer have accomplished this task."--Alexander von Eye,Structural Equation Modeling: A Multidisciplinary Journal"Although this volume will be of greatest value to quantitatively oriented researchers in psychology and other areas of social science, I also recommend it to the statisticians and anyone else interested in the collection and analysis of ILD.--Journal of the American Statistical Association"I recommend it highly and hazard the opinion that sociologists, demographers, and related social scientists will develop their own companions to this volume in future years."--American Journal of Sociology"[Models for Intensive Longitudinal Data] addresses most of the researchers in the behavioral and related sciences, such as psychology, sociology, education, economics, management, and medical sciences. The book also addresses methodologists and statisticians, who are professionally dealing with longitudinal analysis, to enhance their knowledge of the type of model covered and the technical problems involved in their formulation. In addition, the bookoffers applied researchers new ideas about the use of longitudinal analysis in solving their problems."--Psychometrika"The topics covered and the multidisciplinary authors make it appealing to a very wide range of researchers in statistics and the social and behavioral sciences."-- Technometrics"Walls and Schafer have compiled a most interesting and practical volume on methods of analysis of what they call intensive longitudinal data--data from more than just three or four observation waves. The book is interesting because it shows that new and unusual hypotheses can be addressed to complex data, and practical because the methods discussed and proposed are applicable and programs will run on regular PCs. The topics addressed and themultidisciplinary authors make this volume appealing to a very wide readership in biostatistics and the social and behavioral sciences. This is a groundbreaking book for the emerging field of statistical modeling of intensive longitudinal data!"--Alexander von Eye, Professor of Psychology, Michigan State University"From Palm Pilots to wearable computers to GPS monitors, modern technology is allowing todays empirical researchers to generate vast quantities of longitudinal data quickly and easily. But how should these data be analyzed? Models for Intensive Longitudinal Data provides a wonderful overview of the wide array of new analytic options...a hitchhikers guide to an exciting new galaxy in longitudinal data analysis."--Judith D. Singer, James BryantConant Professor of Education, Harvard Graduate School of Education."Intensive longitudinal data is a fascinating and burgeoning field of statistical endeavor. MILD is a spicy introduction to a colorful subject."--Robert E. Weiss, Professor of Biostatistics, UCLA School of Public Health"Clearly, the doors to an exciting line of research and application have been opened. The editors did an excellent job, making sure the number of errors is minimal, the level of exposition is comparable over the chapters, and chapters cross-reference each other where meaningful. It is not very often that researchers detect a niche and go successfully about establishing and filling it. Walls and Schafer have accomplished this task."--Alexander von Eye,Structural Equation Modeling: A Multidisciplinary Journal"I recommend it highly and hazard the opinion that sociologists, demographers, and related social scientists will develop their own companions to this volume in future years."--American Journal of Sociology"[Models for Intensive Longitudinal Data] addresses most of the researchers in the behavioral and related sciences, such as psychology, sociology, education, economics, management, and medical sciences. The book also addresses methodologists and statisticians, who are professionally dealing with longitudinal analysis, to enhance their knowledge of the type of model covered and the technical problems involved in their formulation. In addition, the bookoffers applied researchers new ideas about the use of longitudinal analysis in solving their problems."--Psychometrika Review Quote "Walls and Schafer have compiled a most interesting and practical volume on methods of analysis of what they call intensive longitudinal data--data from more than just three or four observation waves. This book is interesting because it shows that new and unusual hypotheses can be addressed to complex data, and practical because the methods discussed and proposed are applicable and programs will run on regular PCs. The topics addressed and the multidisciplinary authors make this volume appealing to a very wide readership in biostatistics and the social and behavioral sciences. This is a groundbreaking book for the emerging field of statistical modeling of intensive longitudinal data!"--Alexander von Eye, Professor of Psychology, Michigan State University "From Palm Pilots to wearable computers to GPS monitors, modern technology is allowing todays empirical researchers to generate vast quantities of longitudinal data quickly and easily. But how should these data be analyzed? Models for Intensive Longitudinal Data provides a wonderful overview of the wide array of new analytic options...a hitchhikers guide to an exciting new galaxy in longitudinal data analysis."--Judith D. Singer, James Bryant Conant Professor of Education, Harvard Graduate School of Education. "Intensive longitudinal data is a fascinating and burgeoning field of statistical endeavor. MILD is a spicy introduction to a colorful subject."--Robert E. Weiss, Professor of Biostatistics, UCLA School of Public Health "Clearly, the doors to an exciting line of research and application have been opened. The editors did an excellent job, making sure the number of errors is minimal, the level of expositionis comparable over the chapters, and chapters cross-reference each other where meaningful. It is not very often that researchers detect a niche and go successfully about establishing and filling it. Walls and Schafer have accomplished this task."--Alexander von Eye, Structural Equation Modeling: A Multidisciplinary Journal Promotional "Headline" Foreword byStephen W. Raudenbush: Introduction: Intensive Longitudinal Data, Walls and Schafer 1. Walls, Jung, and Schafer: Multileel Models for Intensive Longitudinal Data 2. Schafer: Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations 3. Li, Root, and Shiffman: A Local Linear Estimation Procedure for Funcationl Multilevel Modeling 4. Hedeker, Mermelstein, and Flay: Application of Item Response Theory Models for Intensive Longitudinal Data 5. Fok and Ramsay: Periodic Trends, Non-periodic Trends, and their Interactions in Longitudinal or Functional Data 6. Rovine and Walls: Multilevel Autoregressive Modeling of Interindividual Differences in the Regularity of a Process 7. Ho, Shumway, and Ombao: The State-Space Approach to Modeling Dynamic Processes 8. Ramsay: The Control of Behavioral Input/Output Systems 9. Boker and Laurenceau: Dynamical Systems Modeling: An Application to the Regulation of Intimacy and Disclosure in Marriage 10. Rathbun, Shiffman, and Gwaltney: Point Process Models for Event History Data: Applications ion the Behavioral Science 11. Nusser, Intille, and Maitra: Emerging Technologies and Next Generation Intensive Longitudinal Data Collection Feature Selling point: Illustrates new statistical approaches for the analysis of intensive longitudinal dataSelling point: Draws from examples across disciplines for relevance to the behavioral and social sciencesSelling point: Accesssible to anyone with graduate training in statistics or biostatisticsSelling point: Includes a companion website containing the programs and source code for chapters Details ISBN0195173449 Short Title MODELS FOR INTENSIVE LONGITUDI Language English ISBN-10 0195173449 ISBN-13 9780195173444 Media Book Format Hardcover Edited by Theodore A. Walls Position both at The Methodology Center, Pennsylvania State University Imprint Oxford University Press Inc Place of Publication New York Country of Publication United States DOI 10.1604/9780195173444 UK Release Date 2006-02-23 AU Release Date 2006-02-23 NZ Release Date 2006-02-23 US Release Date 2006-02-23 Author Joseph L. Schafer Pages 320 Publisher Oxford University Press Inc Year 2006 Publication Date 2006-02-23 DEWEY 519.5 Illustrations Numerous tables and line drawings Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:91362865;

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