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November
6, 2009 ~ Scaife Hall, Room 1105, University of Pittsburgh School of
Medicine
“Mixed
Models for Ecological Momentary Assessment (EMA) Data: An Applied Introduction”
 -Donald
Hedeker, PhD, Professor of Biostatistics ~ University of Illinois at Chicago
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Modern data collection procedures,
such as ecological momentary assessments (EMA), experience sampling, and
diary methods have been developed to record the momentary events and experiences
of subjects in daily life. These procedures yield relatively large numbers
of subjects and observations per subject, and data from such designs are
sometimes referred to as intensive longitudinal data. Data from EMA studies
are inherently multilevel with, for example, (level-1) observations nested
within (level-2) subjects. Thus, mixed models (aka multilevel or hierarchical
linear models) are increasingly used for EMA data analysis. In this workshop,
use of mixed models for analysis of EMA data will be described with specific
focus on analyses of data from an ongoing adolescent smoking EMA study.
An important issue that will be described is the treatment of occasion-varying
covariates, and the decomposition of
the within-subjects (WS)
and between-subjects (BS) effects of such covariates. Furthermore, because |
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