An evaluation of gender differences on tests of auditory processing

Author/Creator ORCID

Date

2012-12-17

Department

Towson University. Department of Audiology, Speech-Language Pathology and Deaf Studies

Program

Citation of Original Publication

Rights

Copyright protected, all rights reserved.
There are no restrictions on access to this document. An internet release form signed by the author to display this document online is on file with Towson University Special Collections and Archives.

Subjects

Abstract

When listening difficulties emerge despite a normal functioning peripheral auditory system and cognitive abilities, an auditory processing disorder (APD) can be diagnosed. This disorder can be seen in the older and younger populations, but it is more detrimental in children when language is being acquired. In addition, APD can present with other disorders affecting language, learning, and attention. In other developmental disorders, the prevalence of the disorder in males is higher than it is in females. The present study aimed to analyze gender differences on tests of auditory processing (AP). After a peripheral hearing assessment, children were tested in several areas to ensure they were typically developing. These areas included intelligence (Test of Nonverbal Intelligence - version 3, TONI-3), language (Clinical Evaluation of Language Fundamentals Screening Test - version 4, CELF-4), reading (Comprehensive Test of Phonological Processing, CTOPP), and attention (Integrated Visual and Auditory Continuous Performance Test, IVA-CPT). An AP test battery including dichotic digits test (DDT), frequency pattern test (FPT), duration pattern test (DPT), random gap detection test (RGDT), compressed and reverberated words (CRW), auditory figure ground +8 signal-to-noise ratio (SNR) (AFG+8), AFG 0 SNR, and listening in spatialized noise sentences test (LiSN-S) were utilized. No gender differences were observed in any of the AP tests. However, age differences were observed in almost every AP test. Further research is needed on a larger sample to help specify local normative data, by age and gender as warranted.