Test–Retest Reliability Bounds for Consonant-Nucleus-Consonant Word and Phoneme Scores for Cochlear-Implant Users

OBJECTIVES: This report establishes test-retest 95% confidence interval bounds for consonant-vowel-consonant (CNC) word- and phoneme-recognition scores for cochlear-implant listeners. DESIGN: Data from two published cochlear-implant studies were analyzed. Across-list SDs for individual subjects were compared with the expected SD for a binomially distributed variable. The model was adjusted by tuning the effective binomial distribution set size to minimize the root-mean-square deviation from measured SDs. RESULTS: The effective CNC-word set size equaled the number of words per list (50). The effective phoneme set size (approximately 100) was lower than the number of phonemes per list (150). CONCLUSIONS: Results support the hypotheses that individual CNC words are recognized independently, and that there is mutual information across phonemes, resulting in a smaller effective set size. A table of confidence intervals and critical-difference values for CNC word and phoneme recognition is provided.

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Publication Details

Journal
Ear and Hearing
Published
2026-04-17
DOI
https://doi.org/10.1097/aud.0000000000001819
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
0.00

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article

Test–Retest Reliability Bounds for Consonant-Nucleus-Consonant Word and Phoneme Scores for Cochlear-Implant Users

Joshua G. W. Bernstein, Sandeep A. Phatak
Ear and Hearing
Hearing Loss and Rehabilitation
article

Test–Retest Reliability Bounds for Consonant-Nucleus-Consonant Word and Phoneme Scores for Cochlear-Implant Users

Joshua G. W. Bernstein, Sandeep A. Phatak
article en

Abstract

OBJECTIVES: This report establishes test-retest 95% confidence interval bounds for consonant-vowel-consonant (CNC) word- and phoneme-recognition scores for cochlear-implant listeners. DESIGN: Data from two published cochlear-implant studies were analyzed. Across-list SDs for individual subjects were compared with the expected SD for a binomially distributed variable. The model was adjusted by tuning the effective binomial distribution set size to minimize the root-mean-square deviation from measured SDs. RESULTS: The effective CNC-word set size equaled the number of words per list (50). The effective phoneme set size (approximately 100) was lower than the number of phonemes per list (150). CONCLUSIONS: Results support the hypotheses that individual CNC words are recognized independently, and that there is mutual information across phonemes, resulting in a smaller effective set size. A table of confidence intervals and critical-difference values for CNC word and phoneme recognition is provided.

Ear and Hearing
Walter Reed National Military Medical Center (US)
Telemedicine and Advanced Technology Research Center
Openalex Percentile: Top 12%
Hearing Loss and Rehabilitation
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