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Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

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Diagnosing and Screening in a Minority Language: A Validation Study.

Melanie A Zokoll^1,2,3, Kirsten C Wagener^2,3, Birger Kollmeier^1,2,3,4

¹Medical Physics, Carl von Ossietzky University Oldenburg, Germany.

American Journal of Audiology

|October 20, 2017

Summary

This summary is machine-generated.

The Turkish Digit Triplet Test and Turkish Matrix Test (TURMatrix) provide reliable hearing assessments for Turkish speakers, even when administered by audiologists with limited language proficiency. These tests are valuable for both screening and diagnostics.

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Area of Science:

Audiology
Speech-Language Pathology
Otolaryngology

Background:

Hearing diagnostics often rely on language-specific tests.
Automated, closed-set tests offer standardized response formats.
Assessing hearing in non-native speakers presents unique challenges.

Purpose of the Study:

To evaluate the applicability of the Turkish Digit Triplet Test and the Turkish Matrix Test (TURMatrix) for hearing self-screening and diagnostics.
To determine if German audiologists with varying Turkish language skills can effectively administer these tests.
To compare the performance of the TURMatrix in open-set versus closed-set response formats.

Main Methods:

49 participants with varying hearing abilities were tested.
Speech reception thresholds (SRTs) in noise and quiet were measured.
The TURMatrix was administered using both open-set and closed-set response formats by audiologists with and without Turkish language skills.

Main Results:

Both the Turkish Digit Triplet Test and TURMatrix showed close correlations with each other and with overall hearing ability.
SRTs in quiet correlated more closely with hearing ability than SRTs in noise.
For normal-hearing listeners, the closed-set TURMatrix yielded SRTs approximately 0.7 dB lower than the open-set format.

Conclusions:

The Turkish Digit Triplet Test and TURMatrix are comparable and suitable for use by professionals lacking advanced Turkish language skills.
Literacy is essential for the closed-set TURMatrix, and visual cues can enhance performance.
Speech audiometry in noise should differentiate suprathreshold processing from language proficiency.