Journal article
Statistical Considerations for Analyzing Ecological Momentary Assessment Data
Journal of speech, language, and hearing research, Vol.65(1), pp.1-17
12/15/2021
DOI: 10.1044/2021_JSLHR-21-00081
PMCID: PMC9150728
PMID: 34910571
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. Supplemental Material https://doi.org/10.23641/asha.17155961
Details
- Title: Subtitle
- Statistical Considerations for Analyzing Ecological Momentary Assessment Data
- Creators
- Jacob J Oleson - Department of Biostatistics, University of Iowa, Iowa CityMichelle A Jones - Department of Biostatistics, University of Iowa, Iowa CityErik J Jorgensen - Department of Communication Sciences and Disorders, University of Iowa, Iowa CityYu-Hsiang Wu - Department of Communication Sciences and Disorders, University of Iowa, Iowa City
- Resource Type
- Journal article
- Publication Details
- Journal of speech, language, and hearing research, Vol.65(1), pp.1-17
- DOI
- 10.1044/2021_JSLHR-21-00081
- PMID
- 34910571
- PMCID
- PMC9150728
- ISSN
- 1092-4388
- eISSN
- 1558-9102
- Language
- English
- Date published
- 12/15/2021
- Academic Unit
- Communication Sciences and Disorders; Biostatistics
- Record Identifier
- 9984214728502771
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