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. Author manuscript; available in PMC: 2025 Jan 22.
Published in final edited form as: Cogn Sci. 2024 Aug;48(8):e13488. doi: 10.1111/cogs.13488

Table 3.

Mixed-Effect Model for crowd-rated novelty (left) and aptness (right) of generated metaphors1

Model for Crowd-Novelty Model for Crowd-Aptness
Predictor Estimates CI p Predictor Estimates CI p
(Intercept) 2.29 2.14–2.44 <.001 (Intercept) 2.25 2.08–2.43 <.001
i or a [insight] 0.00 −0.05 to 0.05 .895 i or a [insight] −0.02 −0.09 to 0.05 .523
MTT 0.09 0.02–0.15 .013 MTT 0.11 0.03–0.19 .006
Pre familiar −0.01 −0.03 to 0.01 .277 Pre familiar 0.00 −0.02 to 0.03 .962
Random effects Random effects
σ 2 0.11 σ 2 0.19
τ00 Subject 0.03 τ00 Subject 0.03
τ11 Subject.insighti 0.01 τ11 Subject.insighti 0.03
ρ01 Subject 0.22 ρ01 Subject 0.11
N Subject 49 N Subject 49
Observations 1415 Observations 1415
Marginal R2/Conditional R2 0.028/0.274 Marginal R2/Conditional R2 0.031/0.246