Id |
Subject |
Object |
Predicate |
Lexical cue |
T237 |
0-20 |
Sentence |
denotes |
Preliminary Analyses |
T238 |
21-114 |
Sentence |
denotes |
Factor loadings and AVE values exceeded recommended .700 and .500 cutoff values in all cases. |
T239 |
115-272 |
Sentence |
denotes |
Omega reliability coefficients, interitem correlations (for two-item scales), and composite reliabilities indicated good internal consistency of scales used. |
T240 |
273-371 |
Sentence |
denotes |
Latent variable correlations among social cognition constructs were all statistically significant. |
T241 |
372-615 |
Sentence |
denotes |
Correlations among the majority of constructs in the Australia sample were small-to-medium in size (r range = .161 to .564), with some smaller correlations involving the subjective and moral norms constructs and habit (r range = .094 to .118). |
T242 |
616-702 |
Sentence |
denotes |
Correlations were small-to-medium in size in the U.S. sample (r range = .266 to .620). |
T243 |
703-859 |
Sentence |
denotes |
Square roots of the AVE for each latent variable exceeded the correlation of that variable with all other latent variables supporting discriminant validity. |
T244 |
860-1073 |
Sentence |
denotes |
Skewness and kurtosis estimates indicated many of the variables were not normally distributed, justifying the use of the variance-based structural equation modeling, which is a “distribution-free” analytic method. |
T245 |
1074-1291 |
Sentence |
denotes |
Factor loadings, reliability coefficients, and distribution statistics are presented in Supplementary Appendix C, and latent variable correlations for model variables in both are presented in Supplementary Appendix D. |