The 10 consonant-nucleus-consonant (CNC) word lists are considered the gold standard in the testing of cochlear implant (CI) users. However, variance in scores across lists could degrade the sensitivity and reliability of them to identify deficits in speech perception. This study examined the relationship between variability in performance among lists and the lexical characteristics of the words. Data are from 28 adult CI users. Each subject was tested on all 10 CNC word lists. Data were analyzed in terms of lexical characteristics, lexical frequency, neighborhood density, bi-, and tri-phonemic probabilities. To determine whether individual performance variability across lists can be reduced, the standard set of 10 phonetically balanced 50-word lists was redistributed into a new set of lists using two sampling strategies: (a) balancing with respect to word lexical frequency or (b) selecting words with equal probability. The mean performance on the CNC lists varied from 53.1% to 62.4% correct. The average difference between the highest and lowest scores within individuals across the lists was 20.9% (from 12% to 28%). Lexical frequency and bi-phonemic probabilities were correlated with word recognition performance. The range of scores was not significantly reduced for all individuals when responses were simulated with 1,000 sets of redistributed lists, using both types of sampling methods. These results indicate that resampling of words does not affect the test–retest reliability and diagnostic value of the CNC word test.
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