Literature DB >> 26554491

Construct Validity of the Ecological Momentary Assessment in Audiology Research.

Yu-Hsiang Wu1, Elizabeth Stangl1, Xuyang Zhang1, Ruth A Bentler1.   

Abstract

BACKGROUND: Ecological momentary assessment (EMA) is a methodology involving repeated assessments/surveys to collect data describing respondents' current or very recent experiences and related contexts in their natural environments. The use of EMA in audiology research is growing.
PURPOSE: This study examined the construct validity (i.e., the degree to which a measurement reflects what it is intended to measure) of EMA in terms of measuring speech understanding and related listening context. Experiment 1 investigated the extent to which individuals can accurately report their speech recognition performance and characterize the listening context in controlled environments. Experiment 2 investigated whether the data aggregated across multiple EMA surveys conducted in uncontrolled, real-world environments would reveal a valid pattern that was consistent with the established relationships between speech understanding, hearing aid use, listening context, and lifestyle. RESEARCH
DESIGN: This is an observational study. STUDY SAMPLE: Twelve and twenty-seven adults with hearing impairment participated in Experiments 1 and 2, respectively. DATA COLLECTION AND ANALYSIS: In the laboratory testing of Experiment 1, participants estimated their speech recognition performance in settings wherein the signal-to-noise ratio was fixed or constantly varied across sentences. In the field testing the participants reported the listening context (e.g., noisiness level) of several semicontrolled real-world conversations. Their reports were compared to (1) the context described by normal-hearing observers and (2) the background noise level measured using a sound level meter. In Experiment 2, participants repeatedly reported the degree of speech understanding, hearing aid use, and listening context using paper-and-pencil journals in their natural environments for 1 week. They also carried noise dosimeters to measure the sound level. The associations between (1) speech understanding, hearing aid use, and listening context, (2) dosimeter sound level and self-reported noisiness level, and (3) dosimeter data and lifestyle quantified using the journals were examined.
RESULTS: For Experiment 1, the reported and measured speech recognition scores were highly correlated across all test conditions (r = 0.94 to 0.97). The field testing results revealed that most listening context properties reported by the participants were highly consistent with those described by the observers (74-95% consistency), except for noisiness rating (58%). Nevertheless, higher noisiness rating was associated with higher background noise level. For Experiment 2, the EMA results revealed several associations: better speech understanding was associated with the use of hearing aids, front-located speech, and lower dosimeter sound level; higher noisiness rating was associated with higher dosimeter sound level; listeners with more diverse lifestyles tended to have higher dosimeter sound levels.
CONCLUSIONS: Adults with hearing impairment were able to report their listening experiences, such as speech understanding, and characterize listening context in controlled environments with reasonable accuracy. The pattern of the data aggregated across multiple EMA surveys conducted in a wide range of uncontrolled real-world environment was consistent with the established knowledge in audiology. The two experiments suggested that, regarding speech understanding and related listening contexts, EMA reflects what it is intended to measure, supporting its construct validity in audiology research. American Academy of Audiology.

Entities:  

Mesh:

Year:  2015        PMID: 26554491      PMCID: PMC4732705          DOI: 10.3766/jaaa.15034

Source DB:  PubMed          Journal:  J Am Acad Audiol        ISSN: 1050-0545            Impact factor:   1.664


  30 in total

1.  Subjective vs. objective intelligibility of sentences in listeners with hearing loss.

Authors:  K M Cienkowski; C Speaks
Journal:  J Speech Lang Hear Res       Date:  2000-10       Impact factor: 2.297

2.  Cognitive function in relation to hearing aid use.

Authors:  Thomas Lunner
Journal:  Int J Audiol       Date:  2003-07       Impact factor: 2.117

3.  Evaluation of a second-order directional microphone hearing aid: II. Self-report outcomes.

Authors:  Catherine Palmer; Ruth Bentler; H Gustav Mueller
Journal:  J Am Acad Audiol       Date:  2006-03       Impact factor: 1.664

4.  Digital noise reduction: outcomes from laboratory and field studies.

Authors:  Ruth Bentler; Yu-Hsiang Wu; Jerrica Kettel; Richard Hurtig
Journal:  Int J Audiol       Date:  2008-08       Impact factor: 2.117

5.  Impact of visual cues on directional benefit and preference: Part II--field tests.

Authors:  Yu-Hsiang Wu; Ruth A Bentler
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

6.  Impact of visual cues on directional benefit and preference: Part I--laboratory tests.

Authors:  Yu-Hsiang Wu; Ruth A Bentler
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

7.  The effect of hearing aid signal-processing schemes on acceptable noise levels: perception and prediction.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl
Journal:  Ear Hear       Date:  2013 May-Jun       Impact factor: 3.570

8.  Development of the Connected Speech Test (CST).

Authors:  R M Cox; G C Alexander; C Gilmore
Journal:  Ear Hear       Date:  1987-10       Impact factor: 3.570

9.  Answering autobiographical questions: the impact of memory and inference on surveys.

Authors:  N M Bradburn; L J Rips; S K Shevell
Journal:  Science       Date:  1987-04-10       Impact factor: 47.728

10.  AudioSense: Enabling Real-time Evaluation of Hearing Aid Technology In-Situ.

Authors:  Syed Shabih Hasan; Farley Lai; Octav Chipara; Yu-Hsiang Wu
Journal:  Proc IEEE Int Symp Comput Based Med Syst       Date:  2013
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  17 in total

1.  Characteristics of Real-World Signal to Noise Ratios and Speech Listening Situations of Older Adults With Mild to Moderate Hearing Loss.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Octav Chipara; Syed Shabih Hasan; Anne Welhaven; Jacob Oleson
Journal:  Ear Hear       Date:  2018 Mar/Apr       Impact factor: 3.570

2.  The use of self-report measures to examine changes in perception in response to fittings using different signal processing parameters.

Authors:  Melinda Anderson; Varsha Rallapalli; Tim Schoof; Pamela Souza; Kathryn Arehart
Journal:  Int J Audiol       Date:  2018-07-27       Impact factor: 2.117

3.  Working Memory and Speech Recognition in Noise Under Ecologically Relevant Listening Conditions: Effects of Visual Cues and Noise Type Among Adults With Hearing Loss.

Authors:  Christi W Miller; Erin K Stewart; Yu-Hsiang Wu; Christopher Bishop; Ruth A Bentler; Kelly Tremblay
Journal:  J Speech Lang Hear Res       Date:  2017-08-16       Impact factor: 2.297

4.  The Effect of Hearing Loss on Localization of Amplitude-Panned and Physical Sources.

Authors:  Gregory M Ellis; Pamela E Souza
Journal:  J Am Acad Audiol       Date:  2020-10-08       Impact factor: 1.664

5.  GPS predicts stability of listening environment characteristics in one location over time among older hearing aid users.

Authors:  Erik J Jorgensen; Elizabeth Stangl; Octav Chipara; Helin Hernandez; Jacob Oleson; Yu-Hsiang Wu
Journal:  Int J Audiol       Date:  2020-10-19       Impact factor: 2.437

6.  Why Ecological Momentary Assessment Surveys Go Incomplete: When It Happens and How It Impacts Data.

Authors:  Yu-Hsiang Wu; Jingjing Xu; Elizabeth Stangl; Shareka Pentony; Dhruv Vyas; Octav Chipara; Anna Gudjonsdottir; Jacob Oleson; Jason Galster
Journal:  J Am Acad Audiol       Date:  2020-12-15       Impact factor: 1.245

7.  Efficacy and Effectiveness of Advanced Hearing Aid Directional and Noise Reduction Technologies for Older Adults With Mild to Moderate Hearing Loss.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Octav Chipara; Syed Shabih Hasan; Sean DeVries; Jacob Oleson
Journal:  Ear Hear       Date:  2019 Jul/Aug       Impact factor: 3.570

8.  Test-Retest Reliability of Ecological Momentary Assessment in Audiology Research.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Octav Chipara; Xuyang Zhang
Journal:  J Am Acad Audiol       Date:  2020-11-06       Impact factor: 1.664

9.  Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age.

Authors:  Jan-Willem A Wasmann; Cris P Lanting; Wendy J Huinck; Emmanuel A M Mylanus; Jeroen W M van der Laak; Paul J Govaerts; De Wet Swanepoel; David R Moore; Dennis L Barbour
Journal:  Ear Hear       Date:  2021 Nov-Dec 01       Impact factor: 3.570

10.  The Influence of Forced Social Isolation on the Auditory Ecology and Psychosocial Functions of Listeners With Cochlear Implants During COVID-19 Mitigation Efforts.

Authors:  Camille C Dunn; Elizabeth Stangl; Jacob Oleson; Michelle Smith; Octav Chipara; Yu-Hsiang Wu
Journal:  Ear Hear       Date:  2021 Jan/Feb       Impact factor: 3.562

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