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. 2018 Jun 18;373(1752):20170138. doi: 10.1098/rstb.2017.0138

Table 3.

Results of the multinomial logistic regression predicting verbal utterance type, using taxonomic utterances as the reference category. Note. Leave-one-out information criterion = 16036.75, s.e. = 91.22. Percentage abstract (concrete) refers to the percentage of utterances generated on abstract (concrete) trials that belonged to each utterance category. Abstract words and inaccurate trials were treated as reference categories. B, estimated regression coefficient, based on the mean of the posterior distribution.

percentage
abstract
percentage
concrete
B s.e. Exp(B) 95% CI
taxonomic 25.19% 26.15%
object/entity 8.85% 32.99%
 intercept −1.53 0.24 0.22 [−2.01, −1.04]a
 word type 1.34 0.42 3.82 [0.49, 2.15]a
 accuracy 0.37 0.17 1.45 [0.03, 0.70]a
person/participant 6.64% 1.71%
 intercept −1.93 0.45 0.15 [−2.82, −1.07]a
 word type −2.00 0.89 0.14 [−3.88, −0.36]a
 accuracy −0.36 0.28 0.70 [−0.94, 0.17]
event 16.78% 13.08%
 intercept −0.56 0.19 0.57 [−0.93, −0.19]a
 word type −0.34 0.36 0.71 [−1.06, 0.33]
 accuracy 0.06 0.16 1.06 [−0.26, 0.37]
introspection 14.03% 1.45%
 intercept −0.89 0.28 0.41 [−1.47, −0.34]a
 word type −2.44 0.59 0.09 [−3.68, −1.35]a
 accuracy −0.07 0.16 0.93 [−0.39, 0.24]
complex relation 10.94% 7.61%
 intercept −0.72 0.18 0.49 [−1.06, −0.39]a
 word type −0.38 0.22 0.68 [−0.82, 0.05]
 accuracy −0.31 0.17 0.73 [−0.64, 0.01]
association 17.58% 17.01%
 intercept −0.72 0.15 0.49 [−1.00, −0.43]a
 word type −0.10 0.24 0.90 [−0.57, 0.35]
 accuracy 0.57 0.14 1.77 [0.29, 0.84]a

aParameter estimate whose 95% credible interval does not include 0.