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Development and validation of KBio sentence lists
Hemanth Narayan Shetty1, Monika Nagendra1
1Department of Audiology, JSS Institute of Speech and Hearing, Mysuru, India.
Objective:
This study aimed to develop and validate the KBio sentence lists for assessing speech perception in children with cochlear implants (CI).
Method:
A total of 301 sentences were first rated by five teachers using a 5-point Likert scale, resulting in 172 selected sentences. These were recorded by four speakers and processed through a CI simulation to measure intelligibility in ten children with normal hearing. Based on performance, 115 sentences with ≥50% recognition were organised into five lists of twenty, with fifteen used for practice. List equivalency was evaluated in ten normal-hearing children and ten CI users across five Signal-to-Noise Ratios (SNRs).
Results:
High content validity was confirmed through the Item Content Validity Index, Universal Agreement, and Kappa coefficients, with intelligibility ranging from 26% to 100%. One-way ANOVA showed no significant differences between lists at each SNR. Repeated-measures ANOVA with Bonferroni comparisons revealed significant effects of SNR in CI users.
Discussion:
The KBio lists showed strong validity, high inter-rater agreement, and equivalency after CI simulation. Performance improved with increasing SNR. Variations from earlier studies may relate to linguistic factors, participant age, implantation age, and the use of speech-shaped noise.
Conclusion:
KBio comprises five validated lists influenced by background noise, with lower SNRs reducing recognition accuracy.
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