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. 2022 Oct 20;12:17572. doi: 10.1038/s41598-022-20785-5

Table 2.

Results of Bayesian linear mixed effect models.

Variables Type of sentences Kinds of concepts
Abstract Concrete EMSS PS PSTQ Animal Food Tool ACs vs. CCs 95% CI PP
Uncertainty expressions 0.24 1.81 0.76 0.69 0 0.3 0.6 [0.2, 1.1] ACs > CCs, 99
Number of questions 0.38 0.55 0.50 0.57 0.45 0.41 0.0 [− 0.04, 0.04] ACs > CCs, 50
Number of target word repetition 2.5 5.1 2.5 6.2 5.4 1 − 0.8 [− 1.9, 0.1] ACs > CCs, 3.6
Turn-taking 39.1 58.2 51.8 58.4 44.8 41.5 1.5 [− 1.4, 4.3] ACs > CCs, 83.6
1st or 2nd point of view 40.1 35.3 32.8
1st & 2nd point of view 10. 2 5.8 7.5
1st point of view 9 18.7 7.4
3rd point of view 0.72 0.13 0.48 0.6 0.25 0.13 0.11 [− 0.2, 0.5] ACs > CCs, 75.6
General statements 8.5 10.6 6.9 3.3 1.7 2.3 6.2 [4.7, 7.9] ACs > CCs, 100
Number of evoked contexts 5.5 5 5 4 4.5 4.4 0.87 [− 0.22, 1.95] ACs > CCs, 93
Vision 0.5 0.5 1.1 7.8 5.9 7. 1 6.2 [5, 7.4] CCs > ACs, 100
Touch 0 0 0.1 0.8 0.1 0. 72 0.5 [0.2, 1.0] CCs > ACs, 100
Hearing 0.1 0 0 0.5 0 0.6 0.3 [0.08, 0.7] CCs > ACs, 99.9
Taste 0 9.9 9.9 [8.7, 11.2] CCs > ACs, 100
Smell 0 0.12 0.1 [4.5e−5, 3.04e−3] CCs > ACs, 99.6
Materials 0 0 0 0.7 6.3 3.5 3.47 [2.5, 4.5] CCs > ACs, 100
Space 1 0.2 0.6 7.6 0.9 7 4.6 [3.4, 5.9] CCs > ACs, 100
Time 2.1 3.4 4 2.9 8.9 5.9 − 2.6 [− 3.8, − 1.5] ACs > CCs, 0
Events 1.0 0.3 0.6 2.6 1.8 3.5 − 2 [− 2.9, − 1.2] ACs > CCs, 0
Concrete actions 2.3 3.3 8.2 27.8 27.6 36.6 26 [23.4, 28.9] CCs > ACs, 100
Abstract actions 6.3 11.1 6.6 0.5 1 1.2 7.14 [5.6, 8.8] ACs > CCs, 100
Interoception 0.2 0 0.1 0.1 1.9 0.4 − 0.6 [− 1, − 0.3] ACs > CCs, 0
Emotions 11. 7 3.6 3.8 4 1.5 2.3 3.8 [2.6, 5] ACs > CCs, 100
Metacognition 0.63 0.04 0.6 [0.2, 1.1] ACs > CCs, 100
Beliefs 13.6 14.8 10.8 4.4 3.1 5.9 8.6 [6.9, 10.6] ACs > CCs, 100
Introspection 1.4 2 1.1 1 0.3 07 0.8 [0.3, 1.4] ACs > CCs, 99.9
Associations 1.4 1.4 2.2 0.7 2.1 0.8 0.5 [0, 1.1] ACs > CCs, 95.8
Subordinates 1.7 2.6 − 0.8 [− 1.6, 0.1] ACs > CCs, 100
No Perceptual evaluations 9.1 7.3 1.8 [0.3, 3.4] ACs > CCs, 99
Why-Questions 4.9 1.9 9.7 3.5 1 11 0.2 [− 0.9, 1.4] ACs > CCs, 68
Who-Questions 12.2 1.32 0.88 0.99 0.55 0.88 4.7 [3.5, 5.8] ACs > CCs, 100
What-Questions 14.13 6.89 7.2 [5.4, 9] ACs > CCs, 100
Where-Questions 0.8 0.2 0 20.4 3 4.6 8.9 [7.6, 10.2] CCs > ACs, 100
When-Questions 0.4 0.2 0 1 1.4 0.5 0.7 [0.3, 1.2] CCs > ACs, 100
How-Questions 8.3 11.2 7.5 5 17.7 2.8 − 0.5 [− 2, 1] CCs > ACS, 25.9

We showed the main probability of conditional effects according to the type of sentence (abstract, concrete) or kind of concepts (i.e., emotional EMSS, philosophical PS, quantitative PSTQ, Animals, Food, Tool) in each variable. We report the percentage of all variables for each kind of sentence, with the exception of the variables “number of questions” and “numbers of evoked contexts” where the count frequency is reported. This discrepancy is due to the fact that for the variables “number of questions” and “number of evoked contexts” we did not have a total numerical reference value, while for the others we had it, consequently we reported the percentages. For each variable, we report the comparative analysis between Abstract and Concrete sentences (ACs vs. CCs) and the 95% Credible Intervals (CI) and the probability of posterior observations major to zero (PP > 0) reported in percentage terms according to our hypothesis. The PPs values highlighting meaningful differences are in bold.