. 2021 Oct 14;11:20423. doi: 10.1038/s41598-021-99438-y

Table 3.

Multilevel linear regression model predicting state affect in Experiment 1.

Predictor	Standardized estimates	95% CI	p
(Intercept)	6.55	6.36–6.74	< 0.001
Committed positive ERBs	0.59	0.49–0.68	< 0.001
Exposed to positive ERBs	0.52	0.35–0.69	< 0.001
Committed negative ERBs	− 0.87	− 0.99 to − 0.75	< 0.001
Exposed to negative ERBs	− 1.53	− 1.72 to − 1.33	< 0.001
Positive trait affect	0.24	0.04–0.43	0.019
Committed positive ERB × Positive trait affect	0.35	0.26–0.44	< 0.001
Exposed to positive ERB × Positive trait affect	0.19	− 0.00–0.38	0.054
Time	− 0.08	− 0.14 to − 0.02	0.008
Social desirability scale	0.07	0.02–0.13	0.011
Age	0.01	− 0.01–0.03	0.209
Gender	− 0.04	− 0.22–0.15	0.691
Random effects
σ²	2.52
τ₀₀	1.42_Participant
τ₁₁	0.09_{Participant.time}
ρ₀₁	0.19_Participant
ICC	0.37
N	180_Participant
Observations	7130
Marginal R²	0.142
Conditional R²	0.463

For comparative purposes, a similar model without the covariates, and without the interactions, is shown in Supplementary Table S4.

ERBS Environmentally relevant behaviors.