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Objective: Hearing aid technology can allow users to "geo-tag" hearing aid preferences using the Global Positioning System (GPS). This technology assumes that listening environment characteristics that affect hearing aid benefit change little in a location over time. The purpose of this study was to investigate whether certain characteristics (reverberation, signal type, listening activity, noise location, noisiness, talker familiarity, talker location, and visual cues) changed in a location over time. Design: Participants completed GPS-tagged surveys on smartphones to report on characteristics of their listening environments. Coordinates were used to create indices that described how much listening environment characteristics changed in a location over time. Indices computed in one location were compared to indices computed across all locations for each participant. Study sample: 54 adults with hearing loss participated in this study (26 males and 38 females; 30 experienced hearing aid users and 24 new users). Results: A location dependency was observed for all characteristics. Characteristics were significantly different from one another in their stability over time. Conclusions: Listening environment characteristics changed less over time in a given location than in participants' lives generally. The effectiveness of GPS-dependent hearing aid settings likely depends on the accuracy and location definition of the GPS feature. [ABSTRACT FROM AUTHOR]

This study investigated the effect of presentation level on spectral-ripple detection for listeners with and without sensorineural hearing loss (SNHL). Participants were 25 listeners with normal hearing and 25 listeners with SNHL. Spectral-ripple detection thresholds (SRDTs) were estimated at three spectral densities (0.5, 2, and 4 ripples per octave, RPO) and three to four sensation levels (SLs) (10, 20, 40, and, when possible, 60 dB SL). Each participant was also tested at 90 dB sound pressure level (SPL). Results indicate that level affected SRDTs. However, the effect of level depended on ripple density and hearing status. For all listeners and all RPO conditions, SRDTs improved from 10 to 40 dB SL. In the 2- and 4-RPO conditions, SRDTs became poorer from the 40 dB SL to the 90 dB SPL condition. The results suggest that audibility likely controls spectral-ripple detection at low SLs for all ripple densities, whereas spectral resolution likely controls spectral-ripple detection at high SLs and ripple densities. For optimal ripple detection across all listeners, clinicians and researchers should use a SL of 40 dB SL. To avoid absolute-level confounds, a presentation level of 80 dB SPL can also be used. [ABSTRACT FROM AUTHOR]

Purpose: Music is an important part of life for many people. Furthermore, music training has been shown to improve a variety of cognitive functions among children and adults. However, little research exists on how children who are hard of hearing (HH) perceive or participate in music. In particular, it is unknown whether hearing loss limits participation in music activities among school-aged children with mild-to-severe hearing loss. The purpose of this study was to determine whether hearing loss limits participation among children who are HH compared to children with normal hearing (NH). Method: Participants were parents of 2 cohorts of children finishing 5th grade (approximately 11 years old). Parents were asked to complete a survey (online or paper) regarding the role of music in their child's life. A total of 88 surveys were completed (67 from parents of children who are HH and 21 from parents of children with NH, with an overall response rate of 74%). Results: Hearing loss did not limit music participation among children. Children who are HH listened to recorded music, attended live concerts, and practiced an instrument at the same rates as children with NH. Listening to recorded and live music, practicing an instrument, and playing in an ensemble were equally as important to children who are HH as children with NH. Children who are HH were significantly more likely to regularly play in an ensemble than children with NH. Parent participation in music significantly influenced music participation for children who are HH but not children with NH. Descriptive data about music genres, instruments, and ensembles are also presented. Conclusions: Children who are HH participate in music at the same or greater rates as children with NH. Parent participation in music may be particularly important for children who are HH. In light of this, music listening should be a consideration when fitting children with hearing aids. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]