Statistical Considerations for Analyzing Ecological Momentary Assessment Data

Autor/inn/en	Oleson, Jacob J.; Jones, Michelle A.; Jorgensen, Erik J.; Wu, Yu-Hsiang
Titel	Statistical Considerations for Analyzing Ecological Momentary Assessment Data
Quelle	In: Journal of Speech, Language, and Hearing Research, 65 (2022) 1, S.344-360 (17 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Oleson, Jacob J.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1092-4388
Schlagwörter	Experience; Surveys; Measurement Techniques; Statistical Analysis; Data Analysis; Correlation; Sample Size + Suchen Sie Ihr Suchwort? Erfahrung; Survey; Umfrage; Befragung; Messtechnik; Statistische Analyse; Auswertung; Korrelation
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. (As Provided).
Anmerkungen	American Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01