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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 5.

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

5a: Easy Words
Estimate SE Z p
(Intercept) 0.52 0.36 1.44 0.151
Comparisons with VLNC+V Condition
unrestricted −0.29 0.40 −0.73 0.465
VLNC-V −0.87 0.40 −2.19 0.028*
VLF-V −1.06 0.40 −2.65 0.008**
VLF+V −0.90 0.40 −2.26 0.024*
VLN −1.18 0.40 −2.97 0.003**
VL −0.52 0.40 −1.31 0.189
none −1.06 0.40 −2.66 0.008**
5b: Hard Words
Estimate SE Z p
(Intercept) −0.46 0.39 −1.17 0.242
Comparisons with VLNC+V Condition
unrestricted −0.46 0.49 −0.95 0.341
VLNC-V −1.22 0.49 −2.51 0.012*
VLF-V −0.81 0.49 −1.67 0.096
VLF+V −1.01 0.49 −2.07 0.038*
VLN −1.38 0.49 −2.81 0.005**
VL −0.82 0.49 −1.70 0.090
none −1.38 0.49 −2.81 0.005**

The effect of exposure condition on identification performance with Easy (Table 5a) and Hard (Table 5b) words, assessed separately, using a logistic/binomial mixed-effects regression analysis with the VLNC+V condition as the baseline for comparison with the other conditions. As shown in Tables 5a and 5b, all conditions except the Unrestricted and VL conditions differed from the VLNC+V condition for performance on easy words. A similar pattern was observed in the case of Hard words, except that differences for the VLF-V and VL conditions were marginal.