Table 3.
Confirmatory factor analysis results (N = 201).
| Variables | χ2 | df | χ2 /df | RMSEA | CFI | TLI | IFI | PCFI |
|---|---|---|---|---|---|---|---|---|
| 6-factor model | 710.220 | 360 | 1.973 | 0.070 | 0.923 | 0.913 | 0.924 | 0.819 |
| 6-factor model + common method factor | 684.644 | 337 | 2.032 | 0.072 | 0.924 | 0.908 | 0.925 | 0.767 |
| 5-factor model | 1,256.175 | 365 | 3.442 | 0.110 | 0.804 | 0.782 | 0.806 | 0.723 |
| 4-factor model | 1,477.050 | 371 | 3.981 | 0.122 | 0.757 | 0.734 | 0.759 | 0.692 |
| 3-factor model | 2,161.381 | 374 | 5.779 | 0.155 | 0.608 | 0.574 | 0.610 | 0.560 |
| 2-factor model | 2,810.093 | 376 | 7.474 | 0.180 | 0.466 | 0.423 | 0.469 | 0.431 |
| 1-factor model | 3,248.710 | 377 | 8.617 | 0.195 | 0.370 | 0.321 | 0.374 | 0.343 |
6-factor model: novelty, criticality, disruption, MI, OR, FPD. 5-factor model: novelty, criticality, disruption, MI + OR, FPD. 4-factor model: novelty + criticality + disruption, MI, OR, FPD. 3-factor model: novelty + criticality + disruption, MI+OR, FPD. 2-factor model: novelty + criticality + disruption, MI+OR+FPD. 1-factor model: novelty + criticality + disruption + MI + OR + FPD.