| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T188 |
0-219 |
Sentence |
denotes |
Hypothesized relations among the integrated model constructs were tested in the Australian and U.S. samples separately using variance-based structural equation modeling implemented in the WARP 7.0 analysis package [33]. |
| T189 |
220-498 |
Sentence |
denotes |
Model parameters and standard errors (SEs) were computed using the “Stable3” estimation method, which has been shown to provide the most precise parameter estimates in complex structural models in smaller samples and outperforms bootstrapping methods in simulation studies [33]. |
| T190 |
499-688 |
Sentence |
denotes |
Simulation studies have also shown this method to provide more consistent and precise estimates in data containing outliers, which may inflate SEs and lead to abnormally high p-values [33]. |
| T191 |
689-989 |
Sentence |
denotes |
Two models were estimated in each sample: a model testing predictions of the proposed integrated model with the binary demographic variables also included as covariates (Model 1; Fig. 1, upper panel) and a model that included effects of past social distancing behavior (Model 2; Fig. 1, lower panel). |
| T192 |
990-1065 |
Sentence |
denotes |
All constructs were latent variables indicated by single or multiple items. |
| T193 |
1066-1157 |
Sentence |
denotes |
There were no missing data for the social cognition and self-reported behavioral variables. |
| T194 |
1158-1318 |
Sentence |
denotes |
There were a few instances of missing data for the demographic variables ranging from 0.5% to 8.8% in the Australia sample, and 0.9% to 6.4% in the U.S. sample. |
| T195 |
1319-1373 |
Sentence |
denotes |
Missing data are reported in Supplementary Appendix B. |
| T196 |
1374-1446 |
Sentence |
denotes |
Missing data were imputed using stochastic hierarchical regression [33]. |
