Theodore Walls of the Department of Psychology at the University of Rhode Island and Joseph Schafer of the Methodology Center at Penn State have edited a new volume, described below, that features statistical modeling strategies for intensive longitudinal data.
Walls, T.A. & Schafer, J.L. (2006). Models for Intensive Longitudinal Data. New York : Oxford University Press.
A new class of longitudinal data has emerged as a result of the use of technological devices for data collection in diverse areas of scientific inquiry. For example, social scientific studies frequently utilize handheld computers, beepers, web interfaces and other technological tools for data collection. This class of data is called intensive longitudinal data (ILD) . The volume features state-of-the-art statistical modeling strategies developed by leading statisticians working in conjunction with scientists. Statistical modeling frameworks are outlined and each chapter includes an applied example or application with example programs to be archived on this site. Topics include:
- Multilevel modeling
- Generalized estimating equations
- Item response theory
- Functional data analysis
- Time series analysis
- Point process modeling
- State space modeling
- Dynamical systems modeling
- Control systems models
- Emerging intensive longitudinal data
- ...and more
This volume is intended 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 all take up 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. Specifically, the volume is useful for principal investigators designing new studies that will produce ILD, applied statisticians working on related models, and for methodologists, graduate students and applied analysts working in a range of fields.
“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
“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, Ph.D., Professor
A Review of MILD by Kees van Montfort
A Review of MILD by Alexander von Eye
