Observational studyJournal of the American Academy of Audiology2021
Why Ecological Momentary Assessment Surveys Go Incomplete: When It Happens and How It Impacts Data.
Observational study in Journal of the American Academy of Audiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- A Moderated Mediation Model Linking Speech-in-Noise Exposure, Speech Perception in Noise Ability, Loneliness, and Depression.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Digital citizen science for ethical monitoring of youth physical activity frequency: Comparing mobile ecological prospective assessments and retrospective recall.PLOS digital health · 2025Article
- Assessment of Negative Symptoms in Schizophrenia: From the Consensus Conference-Derived Scales to Remote Digital Phenotyping.Brain sciences · 2025Review
- Understanding Alcohol Consumption and Its Antecedents and Consequences in Daily Life: The Why and the How.Current topics in behavioral neurosciences · 2025Review
- Current limitations in technology-based cognitive assessment for severe mental illnesses: a focus on feasibility, reliability, and ecological validity.Frontiers in behavioral neuroscience · 2025Review
- Implementing Ecological Momentary Assessment in Audiological Research: Opportunities and Challenges.American journal of audiology · 2024Review
- Measuring Hearing Aid Satisfaction in Everyday Listening Situations: Retrospective and In Situ Assessments Complement Each Other.Journal of the American Academy of Audiology · 2024Observational
- Auditory environment diversity quantified using entropy from real-world hearing aid data.Frontiers in digital health · 2023Article
- Personal Characteristics Associated with Ecological Momentary Assessment Compliance in Adult Cochlear Implant Candidates and Users.Journal of the American Academy of Audiology · 2022Observational
- Statistical Considerations for Analyzing Ecological Momentary Assessment Data.Journal of speech, language, and hearing research : JSLHR · 2022Review
- Investigating Real-World Benefits of High-Frequency Gain in Bone-Anchored Users with Ecological Momentary Assessment and Real-Time Data Logging.Journal of clinical medicine · 2021Article
- Real-World Hearing Aid Usage Patterns and Smartphone Connectivity.Frontiers in digital health · 2021Article
- Daily-Life Fatigue Among Adolescents Who Are Hard of Hearing: An Ecological Momentary Assessment Study.Ear and hearingArticle
- Beyond the Moment: How EMA Reporting Periods Affect Sampled Situations and Sensitivity to Hearing Aid Differences.Trends in hearingArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundEcological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. PURPOSE: This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. RESEARCH
designAn observational study. STUDY SAMPLE: Ten adults hearing aid (HA) users. DATA COLLECTION AND ANALYSIS: Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion.
resultsAcross the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small.
conclusionThe present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.
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