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. 2020 Apr 9;3:15. doi: 10.3389/frai.2020.00015

Table 6.

Detailed summary of the GLMM model.

Predictor Value SE DF t-value p-value
(Intercept) 2.811575 0.288647 4096 9.740528 0
words 0.066247 0.073783 62 0.897869 0.3727
wordclass_nonnominal −0.2031 0.896049 62 −0.22666 0.8214
semantic_domain_
New_Zealand_identity
−9.48639 5.155466 62 −1.84006 0.0705
semantic_domain_other 23.6385 4.089416 62 5.780409 0
semantic_domain_sport 0.130252 0.333948 62 0.390037 0.6978
words:
wordclass_
nonnominal
−1.08378 0.616854 62 −1.75695 0.0839
words:
3 semantic_domain_
New_Zealand_identity
0.702501 2.574691 62 0.272849 0.7859
words:
semantic_domain_other
−12.5044 2.037805 62 −6.13622 0
words:
semantic_domain_sport
−0.3489 0.11128 62 −3.1353 0.0026
wordclass_nonnominal:
semantic_domain_
New_Zealand_identity
15.62723 5.242248 62 2.981016 0.0041
wordclass_nonnominal:
semantic_domain_other
−29.0146 4.253724 62 −6.82098 0
wordclass_nonnominal:
semantic_domain_sport
2.066326 0.915875 62 2.256121 0.0276
words:
wordclass_nonnominal:
semantic_domain_
New_Zealand_identity
−3.87852 2.658266 62 −1.45904 0.1496
words:
wordclass_nonnominal:
semantic_domain_other
13.65776 2.19546 62 6.220909 0
words:
wordclass_nonnominal:
semantic_domain_sport
3.046891 0.623952 62 4.883211 0

Significant predictors are emphasized in bold.