scholarly journals Personality captures dissociations of subjective versus objective hearing in noise

2021 ◽  
Vol 8 (11) ◽  
Author(s):  
Malte Wöstmann ◽  
Julia Erb ◽  
Jens Kreitewolf ◽  
Jonas Obleser
Keyword(s):  
Acoustic Noise ◽  
Health Hazard ◽  
Self Report ◽  
Statistical Control ◽  
Noise Levels ◽  
Speech In Noise ◽  
Hearing Ability ◽  
Hearing In Noise ◽  
Two Samples ◽  
Big 5 Personality

Acoustic noise is pervasive in human environments. Some individuals are more tolerant to noise than others. We demonstrate the explanatory potential of Big-5 personality traits neuroticism (being emotionally unstable) and extraversion (being enthusiastic, outgoing) on subjective self-report and objective psycho-acoustic metrics of hearing in noise in two samples (total N = 1103). Under statistical control for demographics and in agreement with pre-registered hypotheses, lower neuroticism and higher extraversion independently explained superior self-reported noise resistance, speech-hearing ability and acceptable background noise levels. Surprisingly, objective speech-in-noise recognition instead increased with higher levels of neuroticism. In turn, the bias in subjectively overrating one's own hearing in noise decreases with higher neuroticism but increases with higher extraversion. Of benefit to currently underspecified frameworks of hearing in noise and tailored audiological treatments, these results show that personality explains inter-individual differences in coping with acoustic noise, which is a ubiquitous source of distraction and a health hazard.

scholarly journals Personality captures dissociations of subjective versus objective noise tolerance

2021 ◽  
Author(s):  
Malte Wöstmann ◽  
Julia Erb ◽  
Jens Kreitewolf ◽  
Jonas Obleser
Keyword(s):  
Acoustic Noise ◽  
Health Hazard ◽  
Self Report ◽  
Statistical Control ◽  
Noise Tolerance ◽  
Noise Resistance ◽  
Total N ◽  
Speech In Noise ◽  
Two Samples ◽  
Big 5 Personality

Acoustic noise is pervasive in human environments. Some individuals are more tolerant to noise than others. We demonstrate the explanatory potential of Big-5 personality traits neuroticism (being emotionally unstable) and extraversion (being enthusiastic, outgoing) on subjective self-report and objective psycho-acoustic metrics of noise tolerance in two samples (total N = 1,103). Under statistical control for demographics and in agreement with pre-registered hypotheses, lower neuroticism and higher extraversion independently explained superior self-reported noise resistance, speech-in-noise comprehension, and acceptable background noise. Surprisingly, objective speech-in-noise comprehension instead increased with higher levels of neuroticism. In turn, the bias to subjectively overrate one’s own objective noise tolerance decreases with higher neuroticism but increases with higher extraversion. Of benefit to a solid framework of noise tolerance and tailored audiological treatments, these results show that personality explains inter-individual differences in coping with acoustic noise, which is a ubiquitous source of distraction and health hazard.

The Relationship between High-Frequency Pure-Tone Hearing Loss, Hearing in Noise Test (HINT) Thresholds, and the Articulation Index

2012 ◽  
Vol 23 (10) ◽  
pp. 779-788 ◽  
Author(s):  
Andrew J. Vermiglio ◽  
Sigfrid D. Soli ◽  
Daniel J. Freed ◽  
Laurel M. Fisher
Keyword(s):  
Speech Recognition ◽  
High Frequency ◽  
Pure Tone ◽  
Speech In Noise ◽  
Hearing Ability ◽  
Hearing In Noise ◽  
Articulation Index ◽  
Speech Recognition In Noise ◽  
The Relationship ◽  
Pure Tone Threshold

Background: Speech recognition in noise testing has been conducted at least since the 1940s (Dickson et al, 1946). The ability to recognize speech in noise is a distinct function of the auditory system (Plomp, 1978). According to Kochkin (2002), difficulty recognizing speech in noise is the primary complaint of hearing aid users. However, speech recognition in noise testing has not found widespread use in the field of audiology (Mueller, 2003; Strom, 2003; Tannenbaum and Rosenfeld, 1996). The audiogram has been used as the “gold standard” for hearing ability. However, the audiogram is a poor indicator of speech recognition in noise ability. Purpose: This study investigates the relationship between pure-tone thresholds, the articulation index, and the ability to recognize speech in quiet and in noise. Research Design: Pure-tone thresholds were measured for audiometric frequencies 250–6000 Hz. Pure-tone threshold groups were created. These included a normal threshold group and slight, mild, severe, and profound high-frequency pure-tone threshold groups. Speech recognition thresholds in quiet and in noise were obtained using the Hearing in Noise Test (HINT) (Nilsson et al, 1994; Vermiglio, 2008). The articulation index was determined by using Pavlovic's method with pure-tone thresholds (Pavlovic, 1989, 1991). Study Sample: Two hundred seventy-eight participants were tested. All participants were native speakers of American English. Sixty-three of the original participants were removed in order to create groups of participants with normal low-frequency pure-tone thresholds and relatively symmetrical high-frequency pure-tone threshold groups. The final set of 215 participants had a mean age of 33 yr with a range of 17–59 yr. Data Collection and Analysis: Pure-tone threshold data were collected using the Hughson-Weslake procedure. Speech recognition data were collected using a Windows-based HINT software system. Statistical analyses were conducted using descriptive, correlational, and multivariate analysis of covariance (MANCOVA) statistics. Results: The MANCOVA analysis (where the effect of age was statistically removed) indicated that there were no significant differences in HINT performances between groups of participants with normal audiograms and those groups with slight, mild, moderate, or severe high-frequency hearing losses. With all of the data combined across groups, correlational analyses revealed significant correlations between pure-tone averages and speech recognition in quiet performance. Nonsignificant or significant but weak correlations were found between pure-tone averages and HINT thresholds. Conclusions: The ability to recognize speech in steady-state noise cannot be predicted from the audiogram. A new classification scheme of hearing impairment based on the audiogram and the speech reception in noise thresholds, as measured with the HINT, may be useful for the characterization of the hearing ability in the global sense. This classification scheme is consistent with Plomp's two aspects of hearing ability (Plomp, 1978).

Using the Rating Scale Model to Examine the Psychometric Properties of the Self-Efficacy Scale for Driver Competence

2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström
Keyword(s):  
Psychometric Properties ◽  
Self Efficacy ◽  
Rating Scale ◽  
Measurement Precision ◽  
The Self ◽  
Test Theory ◽  
Self Report ◽  
Scale Model ◽  
Validity And Reliability ◽  
Two Samples

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.

scholarly journals Characterization of Noise Level Inside a Vehicle under Different Conditions

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2471 ◽  
Author(s):  
Daniel Flor ◽  
Danilo Pena ◽  
Luan Pena ◽  
Vicente A. de Sousa ◽  
Allan Martins
Keyword(s):  
Regression Analysis ◽  
Noise Level ◽  
Acoustic Noise ◽  
Experimental Setup ◽  
Strongly Correlated ◽  
Noise Levels ◽  
Noise Sources ◽  
Statistical Tools ◽  
Window Position

Vehicular acoustic noise evaluations are a concern of researchers due to health and comfort effects on humans and are fundamental for anyone interested in mitigating audio noise. This paper focuses on the evaluation of the noise level inside a vehicle by using statistical tools. First, an experimental setup was developed with microphones and a microcomputer located strategically on the car’s panel, and measurements were carried out with different conditions such as car window position, rain, traffic, and car speed. Regression analysis was performed to evaluate the similarity of the noise level from those conditions. Thus, we were able to discuss the relevance of the variables that contribute to the noise level inside a car. Finally, our results revealed that the car speed is strongly correlated to interior noise levels, suggesting the most relevant noise sources are in the vehicle itself.

scholarly journals Critical appraisal of speech in noise tests: a systematic review and survey

2016 ◽  
Vol 5 (1) ◽  
pp. 13 ◽  
Author(s):  
Suhani Sharma ◽  
Rajesh Tripathy ◽  
Udit Saxena
Keyword(s):  
Critical Appraisal ◽  
Measurement Model ◽  
Test Time ◽  
Hearing Research ◽  
Speech In Noise ◽  
Hearing In Noise ◽  
Instrument Bias ◽  
Noise Test ◽  
Time Required ◽  
Selection Of

Speech in noise tests that measure the perception of speech in presence of noise are now an important part of audiologic tests battery and hearing research as well. There are various tests available to estimate the perception of speech in presence of noise, for example, connected sentence test, hearing in noise test, words in noise, quick speech-in-noise test, bamford-kowal-bench speech-in-noise test, and listening in spatialized noise-sentences. All these tests are different in terms of target age, measure, procedure, speech material, noise, normative, etc. Because of the variety of tests available to estimate speech-in-noise abilities, audiologists often select tests based on their availability, ease to administer the test, time required in running the test, age of the patient, hearing status, type of hearing disorder and type of amplification device if using. A critical appraisal of these speech-in-noise tests is required for the evidence based selection and to be used in audiology clinics. In this article speech-in-noise tests were critically appraised for their conceptual model, measurement model, normatives, reliability, validity, responsiveness, item/instrument bias, respondent burden and administrative burden. Selection of a standard speech-in-noise test based on this critical appraisal will also allow an easy comparison of speech-in-noise ability of any hearing impaired individual or group across audiology clinics and research centers. This article also describes the survey which was done to grade the speech in noise tests on the various appraisal characteristics.

scholarly journals Speech-in-noise recognition and the relation to vocal pitch perception in adults with autism spectrum disorder and typical development

2019 ◽  
Author(s):  
Stefanie Schelinski ◽  
Katharina von Kriegstein
Keyword(s):  
Autism Spectrum Disorder ◽  
High Functioning Autism ◽  
Autism Spectrum ◽  
Pitch Perception ◽  
Spectrum Disorder ◽  
Control Group ◽  
Noise Levels ◽  
Adults With Autism ◽  
Speech In Noise ◽  
Vocal Pitch

We tested the ability to recognise speech-in-noise and its relation to the ability to discriminate vocal pitch in adults with high-functioning autism spectrum disorder (ASD) and typically developed adults (matched pairwise on age, sex, and IQ). Typically developed individuals understood speech in higher noise levels as compared to the ASD group. Within the control group but not within the ASD group, better speech-in-noise recognition abilities were significantly correlated with better vocal pitch discrimination abilities. Our results show that speech-in-noise recognition is restricted in people with ASD. We speculate that perceptual impairments such as difficulties in vocal pitch perception might be relevant in explaining these difficulties in ASD.

scholarly journals Spanish validation of the Parental Psychological Control Scale and Parental Psychological ControlDisrespect Scale

2021 ◽  
Vol 24 (1) ◽  
pp. 107-120
Author(s):  
Carmen Rodríguez-Menéndez ◽  
María de las Mercedes Inda-Caro ◽  
Carmen-María Fernández-García ◽  
Lindsay Martínez-García
Keyword(s):  
Psychological Control ◽  
Group Analysis ◽  
Two Dimensions ◽  
Self Report ◽  
Self Concept ◽  
Unique Contribution ◽  
Control Scale ◽  
Parental Psychological Control ◽  
Spanish Validation ◽  
Two Samples

The construct “parental psychological control” has been used to refer to those parental behaviors that interfere with the children’s thoughts and feelings. Examples of this type of behaviors would be inducing guilt or shame as well as the withdrawal of affection. The objective of this study was to validate and adapt the Spanish version of the Psychological Control Scale-Youth Self-Report (PCS-YSR) and the Psychological Control-Disrespect Scale (PCDS) and to analyze if the parental psychological control is defined as one dimension or two dimensions through manipulative and disrespectful behaviors towards adolescents. Also, the unique contribution of parental psychological control in predicting adolescent’s self-concept was examined. In two samples of undergraduate university students (the first, N = 367, mean age = 19.8, women=62.7%, men=37.3%, and the second, N= 312, mean age=19.7, women=73.9%, men=26.1%), exploratory and confirmatory factor analyses confirmed the hypothesized factor structure of the PCS-YSR and the PCDS, for both paternal and maternal ratings. Convergent validity was confirmed by consistent associations between both measures of parental psychological control and other measures of parental autonomy support and parental psychological control. The multi-group analysis confirmed that parental psychological control had a negative influence on self-concept. The results indicated that both scales are useful instruments for assessing parental psychological control.

scholarly journals Speech Auditory Brainstem Responses in Adult Hearing Aid Users: Effects of Aiding and Background Noise, and Prediction of Behavioral Measures

2019 ◽  
Vol 23 ◽  
pp. 233121651984829 ◽  
Author(s):  
Ghada BinKhamis ◽  
Antonio Elia Forte ◽  
Tobias Reichenbach ◽  
Martin O’Driscoll ◽  
Karolina Kluk
Keyword(s):  
Hearing Aids ◽  
Background Noise ◽  
Objective Measure ◽  
Auditory Brainstem ◽  
Self Report ◽  
Auditory Brainstem Responses ◽  
Speech Understanding ◽  
Reported Speech ◽  
Speech Detection ◽  
Speech In Noise

Evaluation of patients who are unable to provide behavioral responses on standard clinical measures is challenging due to the lack of standard objective (non-behavioral) clinical audiological measures that assess the outcome of an intervention (e.g., hearing aids). Brainstem responses to short consonant-vowel stimuli (speech-auditory brainstem responses [speech-ABRs]) have been proposed as a measure of subcortical encoding of speech, speech detection, and speech-in-noise performance in individuals with normal hearing. Here, we investigated the potential application of speech-ABRs as an objective clinical outcome measure of speech detection, speech-in-noise detection and recognition, and self-reported speech understanding in 98 adults with sensorineural hearing loss. We compared aided and unaided speech-ABRs, and speech-ABRs in quiet and in noise. In addition, we evaluated whether speech-ABR F0 encoding (obtained from the complex cross-correlation with the 40 ms [da] fundamental waveform) predicted aided behavioral speech recognition in noise or aided self-reported speech understanding. Results showed that (a) aided speech-ABRs had earlier peak latencies, larger peak amplitudes, and larger F0 encoding amplitudes compared to unaided speech-ABRs; (b) the addition of background noise resulted in later F0 encoding latencies but did not have an effect on peak latencies and amplitudes or on F0 encoding amplitudes; and (c) speech-ABRs were not a significant predictor of any of the behavioral or self-report measures. These results show that speech-ABR F0 encoding is not a good predictor of speech-in-noise recognition or self-reported speech understanding with hearing aids. However, our results suggest that speech-ABRs may have potential for clinical application as an objective measure of speech detection with hearing aids.

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