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. Author manuscript; available in PMC: 2019 Apr 19.
Published in final edited form as: Lang Cogn Neurosci. 2018 Feb 26;33(9):1083–1091. doi: 10.1080/23273798.2018.1442580

Table 4.

Analysis of Word Identification Performed Separately on Easy and Hard Word List

4a: Easy Words
Estimate SE Z p
(Intercept) −0.54 0.36 −1.50 0.133
Comparisons with Null Exposure Condition
VL 0.537 0.40 1.34 0.179
VLN −0.124 0.40 −0.31 0.756
VLF+V 0.157 0.40 0.39 0.694
VLF-V 0.003 0.40 0.01 0.994
VLNC-V 0.185 0.40 0.46 0.643
VLNC+V 1.060 0.40 2.65 0.008**
Unrestricted 0.769 0.40 1.93 0.054
4b: Hard Words
Estimate SE Z p
(Intercept) −1.83 0.40 −4.62 0.000***
Comparisons with Null Exposure Condition
VL 0.551 0.49 1.13 0.261
VLN −0.002 0.49 −0.01 0.996
VLF+V 0.366 0.49 0.75 0.455
VLF-V 0.562 0.49 1.14 0.253
VLNC-V 0.151 0.49 0.31 0.759
VLNC+V 1.375 0.49 2.82 0.005**
Unrestricted 0.913 0.49 1.87 0.062

The effect of exposure condition on identification performance with Easy (Table 4a) and Hard (Table 4b) words, assessed separately, using a logistic/binomial mixed-effects regression analysis with the Null exposure condition as the baseline for comparison with the other conditions. The only exposure condition that differed from the Null condition was the condition including Voiced Obstruents; and the Unrestricted conditions differed marginally.