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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Brain Lang. 2017 Jul 21;174:61–71. doi: 10.1016/j.bandl.2017.07.002

Table 1. Predicting LIFG Response to Metaphors.

Results of our regression models. Variables included in the model were the P-index (calculated based on results of Study 1), property salience, property frequency, property distinctiveness, and semantic distance of property and object concept.(A) Controlling for difference between metaphor-relevant and -irrelevant properties.(B) Controlling for metaphor-relevant property only.

A. IRR-REL B t p
P-index 0.22 2.44 0.02*
Salience 0.06 1.37 0.18
Frequency −0.01 −1.79 0.08
Distinctiveness −0.15 −1.41 0.16
Semantic Distance (LSA) −0.39 −1.96 0.06
Familiarity 0.01 0.16 0.87
B. REL B t p
P-index 0.19 2.13 0.04*
Salience 0.11 1.42 0.16
Frequency −0.01 −1.38 0.17
Distinctiveness −0.18 −1.17 0.25
Semantic Distance (LSA) −0.47 −1.30 0.20
Familiarity −0.02 −0.29 0.77