Models for Intensive Longitudinal Data

Walls, Theodore A. & Joseph L. Schafer

ISBN 10: 0195173449 / ISBN 13: 9780195173444

Published by Oxford University Press, 2006

About this Item

This book is in very good condition; no remainder marks. Dustjacket does have some shelfwear. Inside pages are clean. ; 6.59 X 0.76 X 9.42 inches; 320 pages.

Seller Inventory # 12GW25-068-156a

Bibliographic Details

• Title: Models for Intensive Longitudinal Data
• Publisher: Oxford University Press
• Publication Date: 2006
• Language: English
• ISBN 10: 0195173449
• ISBN 13: 9780195173444
• Binding: Hardcover
• Condition: Very Good
• Dust Jacket Condition: Very Good
• Weight: 1 pound

About this title

Synopsis

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.

About the Author

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, and statistical methods for casual inference.