Table 4: Means with confidence intervals of expected (convergent) and non- expected (divergent) correlations, respectively, over Base (N=258) and Follow-up (N=305) studies.
Notations: CV: Convergent validity, DV: Divergent validity, CV_DV: Mean differences between CV and DV (here expressed as absolute value), [#.##]: Denotes a 95% asymmetrical confidence interval (CI) based on Fishers’ Z-transformation of a Pearson correlation.
| MODEL RESULTS |
| VARIABLE | ESTIMATE | S.E. | EST./S.E. | TWO-TAILED P-VALUE |
| BASE study (N=258) |
| CV | 0.365 | 0.027 | 13.439 | 0.000 |
| DV | -0.071 | 0.025 | -2.864 | 0.004 |
| CV_DV | 0.294 | 0.042 | 7.046 | 0.000 |
| Follow-UP study (N=305) |
| CV | 0.400 | 0.021 | 18.775 | 0.000 |
| DV | -0.062 | 0.022 | -2.872 | 0.004 |
| CV_DV | 0.338 | 0.030 | 11.224 | 0.000 |
| CONFIDENCE INTERVALS OF MODEL RESULTS |
| LOWER 2.5% | ESTIMATE | UPPER 2.5% | |
| BASE study (N=258) |
| CV | 0.312 | 0.365 | 0.419 | |
| DV | -0.120 | -0.071 | -0.023 | |
| CV_DV | 0.212[0.210] | 0.294 | 0.376[0.374] | |
| Follow-UP study (N=305) |
| CV | 0.358 | 0.400 | 0.442 | |
| DV | -0.105 | -0.062 | -0.020 | |
| CV_DV | 0.279[0.278] | 0.338 | 0.397[0.395] | |