ArticleCoDAS2024
Development and validation of Competing Sentence Test in Kannada.
Article in CoDAS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeThe main objective was to develop and validate a MATLAB-based Competing Sentence Test (CST-K) and obtain preliminary normative data for this test within a small cohort of children aged 8 to 12.
methodsThis study comprised two phases. Phase 1 involved developing and validating the Competing Sentence Test in Kannada (CST-K). Sentences were selected from Kannada academic textbooks of III and IV standards, recorded by a male native Kannada speaker, and evaluated by three experienced audiologists. Phase 2, which includes normative pilot estimation, was conducted on 60 right-handed children aged 8-12 without hearing difficulties. The CST-K was administered in a quiet room in the school, where the noise level ranged from 40.3 to 43.2 dBA using a laptop and soundcard, presenting thirty pairs of simple sentences with a signal-to-competition ratio of -15 dB. Test-retest reliability was assessed after three weeks. Participants were evenly distributed among four age groups: 8-8.11 years, 9-9.11 years, 10-10.11 years, and 11-11.11 years.
resultsThe results indicated a significant difference between the scores obtained for the right and left ears. There was also a statistically significant difference across the age groups. The test-retest reliability test showed excellent reliability for the right ear and good reliability for the left ear scores.
conclusionA MATLAB-based Competing Sentence Test in Kannada Language was developed and validated in a recent study. The study found that scores were higher for the right ear and there was a significant age-related difference. This test can be used to evaluate binaural separation skills in Kannada-speaking children and can be included in the test battery. The study also provides normative data for the competing sentence test, which is reliable, making it a unique tool for clinicians to assess various clinical populations.
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