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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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Emerging Technologies and Next-Generation Intensive Longitudinal Data Collection

Emerging Technologies and Next-Generation Intensive Longitudinal Data Collection

Chapter:
(p.254) 11 Emerging Technologies and Next-Generation Intensive Longitudinal Data Collection
Source:
Models for Intensive Longitudinal Data
Author(s):

Sarah M. Nusser

Stephen S. Intille

Ranjan Maitra

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195173444.003.0011

This chapter considers newly emerging measurement technologies for intensive monitoring of individual behaviors and physiological responses in a wide array of settings. The goal is to introduce the assessment systems and algorithms being utilized to extract data summaries from huge amounts of raw multidimensional sensor data. Because the social science community is hugely un-oriented with this emerging class of longitudinal data, the authors focus on the limitations and opportunities linked with the intensive longitudinal data produced by these technologies, how they affect study design and analysis, and the statistical issues linked with processing such datasets into meaningful forms. The authors refer the readers to the longitudinal data modeling approaches tackled in the preceding chapters.

Keywords:   measurement technologies, individual behaviors, physiological responses, longitudinal data, data modeling

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