Research Article
Why Millennials Continue to Use WhatsApp? A Focus on Culture and Computer–Human Dialogue
Table 7
Hypothesis testing (outcome of the structural model).
| H | Structural paths | Path coefficient (β) | values | values | Effect size () | Variance inflation factor (VIF) | Result |
| Direct effect | | | | | | | H1 | PDS ➔ AL | 0.526 | <0.001 | 9.579 | 0.298 | 1.130 | Supported | H2 | AL ➔ CI | 0.690 | <0.001 | 12.888 | 0.528 | 1.509 | Supported | Moderating effect | | | | | | | H3a | PDS UA➔ AL | -0.164 | 0.003 | -2.806 | 0.056 | 1.993 | Supported | H3b | PDS PD➔ AL | 0.079 | 0.092 | 1.334 | 0.005 | 1.162 | Not supported | H3c | PDS MAS➔ AL | -0.098 | 0.049 | -1.665 | 0.01 | 1.207 | Supported | H3d | PDS IND➔ AL | -0.111 | 0.03 | -1.89 | 0.028 | 1.745 | Supported | H4a | AL UA➔ CI | -0.171 | 0.002 | -2.929 | 0.093 | 2.156 | Supported | H4b | AL PD➔ CI | 0.112 | 0.028 | 1.911 | 0.041 | 1.698 | Supported | H4c | AL MAS➔ CI | -0.148 | 0.006 | -2.53 | 0.048 | 1.976 | Supported | H4d | AL IND➔ CI | -0.027 | 0.323 | -0.46 | 0.01 | 1.824 | Not supported |
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Note: too weak effect; small effect; medium effect; large effect. |