Article

Ecological momentary assessment (EMA) methods collect real-time data in
real-world environments, which allow physical medicine and rehabilitation
researchers to examine objective outcome data and reduces bias from retrospective
recall. The statistical analysis of EMA data is directly related to the research
question and the temporal design of the study. Hierarchical linear modeling,
which accounts for multiple observations from the same participant, is a
particularly useful approach to analyzing EMA data.
The objective of this paper
was to introduce the process of conducting hierarchical linear modeling analyses
with EMA data. This is accomplished using exemplars from recent physical medicine
and rehabilitation literature.

Langue : ANGLAIS