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Models for Intensive Longitudinal Data$
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Theodore A. Walls and Joseph L. Schafer

Print publication date: 2006

Print ISBN-13: 9780195173444

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195173444.001.0001

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Multilevel Autoregressive Modeling of Interindividual Differences in the Stability of a Process

Multilevel Autoregressive Modeling of Interindividual Differences in the Stability of a Process

Chapter:
(p.124) 6 Multilevel Autoregressive Modeling of Interindividual Differences in the Stability of a Process
Source:
Models for Intensive Longitudinal Data
Author(s):

Michael J. Rovine

Theodore A. Walls

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195173444.003.0006

Most psychological phenomena have been studied through the consideration of data gathered at relatively few occasions of measurement over time. However, a current wave of diary-based studies has generated many databases with more intensively collected longitudinal data. The number of occasions can be greater than those gathered in a normal panel study, but less than the very high numbers of occasions typically found in the time-series domain. The same types of questions that could be answered based on a smaller number of occasions could also be proposed for these longer time series. Normally, scientific questions for which longitudinal data have been collected have been the focus with change and stability.

Keywords:   change, stability, diaries, occasions, time series

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