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Implementing Ecological Momentary Assessment in Audiological Research: Opportunities and Challenges

Nadja Schinkel–Bielefeld, Louise A. Burke, Inga Holube, Maria Iankilevitch, Lorienne M. Jenstad, Dina Lelic, Graham Naylor, Gurjit Singh, Karolina Smeds, Petra von Gablenz, Florian Wolters, Yu-Hsiang Wu

2024American Journal of Audiology15 citationsDOIOpen Access PDF

Abstract

Ecological momentary assessment (EMA) is a way to evaluate experiences in everyday life. It is a powerful research tool but can be complex and challenging for beginners. Application of EMA in audiological research brings with it opportunities and challenges that differ from other research disciplines. This tutorial discusses important considerations when conducting EMA studies in hearing care. While more research is needed to develop specific guidelines for the various potential applications of EMA in hearing research, we hope this article can alert hearing researchers new to EMA to pitfalls when using EMA and help strengthen their study design. The current article elaborates study design details, such as choice of participants, representativeness of the study period for participants' lives, and balancing participant burden with data requirements. Mobile devices and sensors to collect objective data on the acoustic situation are reviewed alongside different possibilities for EMA setups ranging from online questionnaires paired with a timer to proprietary apps that also have access to parameters of a hearing device. In addition to considerations for survey design, a list of questionnaire items from previous studies is provided. For each item, an example and a list of references are given. EMA typically provides data sets that are rich but also challenging in that they are noisy, and there is often unequal amount of data between participants. After recommendations on how to check the data for compliance, reactivity, and careless responses, methods for statistical analysis on the individual level and on the group level are discussed including special methods for direct comparison of hearing device programs.

Topics & Concepts

Representativeness heuristicComputer scienceEcological validityData collectionResearch designData scienceApplied psychologyPsychologyNeuroscienceSocial psychologySociologyCognitionSocial scienceMathematicsStatisticsHearing Loss and RehabilitationNeuroscience and Music PerceptionNoise Effects and Management
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