Table 3.
Discriminate validity (Fronell–Larcker criterion).
| Full Dataset (n = 240) | Male (n = 79) | Female (n = 161) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Construct | AV | GPB | HV | PEB | PN | AV | GPB | HV | PEB | PN | AV | GPB | HV | PEB | PN |
| AV | 0.781 | 0.86 | 0.74 | ||||||||||||
| GPB | 0.615 | 0.862 | 0.676 | 0.902 | 0.549 | 0.836 | |||||||||
| HV | 0.676 | 0.532 | 0.862 | 0.756 | 0.58 | 0.904 | 0.621 | 0.5 | 0.841 | ||||||
| PEB | 0.552 | 0.428 | 0.528 | 0.9 | 0.767 | 0.601 | 0.66 | 0.915 | 0.427 | 0.294 | 0.457 | 0.892 | |||
| PN | 0.619 | 0.495 | 0.657 | 0.798 | 0.846 | 0.766 | 0.666 | 0.715 | 0.892 | 0.89 | 0.537 | 0.381 | 0.624 | 0.756 | 0.827 |
Note. Diagonal values in bold represent square root of AVE; other values represent the correlation between constructs.