Planned comparisons further showed that monosyllables with large rises in sonority (e.g., blif ) produced reliably more accurate responses relative to small rises (e.g., bnif , t1(39) = 8.68, p<.0001; t2(45) = 3.25, p<.003), which, in turn produced reliably more accurate responses compared to sonority plateaus (e.g., bdif , t1(39) = 7.14, p<.0001; t2(45) = 5.27, p<.0001); the contrast between sonority plateaus and falls (e.g., lbif ) was marginally significant (t1(39) = 2.37, p<.03; t2(45) = 1.13, p<.28) To demonstrate that the effect of syllable type is not due to artifact associated with binary data [31] , we also submitted the results to a General Mixed Effects Model logistic regression model with syllable (monosyllables vs. disyllables) and type (e.g., blif, bnif, bdif, lbif ) as fixed effects, and participants and items as random effects.
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