Statistical Considerations for Analyzing Ecological Momentary Assessment Data.
J Speech Lang Hear Res
; 65(1): 344-360, 2022 01 12.
Article
in English
| MEDLINE | ID: covidwho-1655687
ABSTRACT
PURPOSE:
The analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The goal of this tutorial is to provide an overview of statistical considerations for analyzing observational data arising from EMA studies.METHOD:
EMA data are collected in a variety of ways, complicating the statistical analysis. We focus on fundamental statistical characteristics of the data and general purpose statistical approaches to analyzing EMA data. We implement those statistical approaches using a recent study involving EMA.RESULTS:
The linear or generalized linear mixed-model statistical approach can adequately capture the challenges resulting from EMA collected data if properly set up. Additionally, while sample size depends on both the number of participants and the number of survey responses per participant, having more participants is more important than the number of responses per participant.CONCLUSION:
Using modern statistical methods when analyzing EMA data and adequately considering all of the statistical assumptions being used can lead to interesting and important findings when using EMA. SUPPLEMENTALMATERIAL:
https//doi.org/10.23641/asha.17155961.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Research Design
/
Ecological Momentary Assessment
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
J Speech Lang Hear Res
Journal subject:
Audiology
/
Speech-Language Pathology
Year:
2022
Document Type:
Article
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