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 the statistical 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 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 and applying 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 of measurements, 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 www.oup.com/us/MILD contains program examples and documentation.
Industry Reviews
"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 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 today's 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 hitchhiker's 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 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 book
offers 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 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 today's 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 hitchhiker's 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 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 book
offers applied researchers new ideas about the use of longitudinal analysis in solving their problems."--Psychometrika
