Table 1 Goodness of fit indexes for the models.
Sample 2 (true/false) | Sample 3 (Likert) | |||||||
|---|---|---|---|---|---|---|---|---|
Model | X2(df) | CFI | TLI | RMSEA | X2(df) | CFI | TLI | RMSEA |
What is AI? (1-fac) | 244.22 (77) | 0.83 | 0.80 | 0.06 [0.05, 0.07] | 345.93 (77) | 0.65 | 0.59 | 0.09 [0.09,0.10] |
What is AI? (2-fac) | 113.38 (76) | 0.96 | 0.96 | 0.03 [0.02, 0.04] | 139.15 (76) | 0.92 | 0.90 | 0.04 [0.04,0.06] |
What can AI do? (2-fac) | 62.45 (26) | 0.79 | 0.70 | 0.06 [0.04, 0.08] | ||||
What can AI do? (streng) | 17.47 (5) | 0.96 | 0.92 | 0.06 [0.03, 0.10] | 16.46 (5) | 0.96 | 0.92 | 0.08 [0.04, 0.12] |
What can AI do? (weak) | 26.32 (2) | 0.84 | 0.52 | 0.14 [0.10, 0.19] | 36.64 (2) | 0.70 | 0.11 | 0.21 [0.15, 0.28] |
How does AI work? | 314.09 (230) | 0.91 | 0.90 | 0.02 [0.01, 0.03] | 348.09 (230) | 0.95 | 0.95 | 0.04 [0.03, 0.04] |
How should AI be used? | 38.02 (35) | 0.99 | 0.98 | 0.01 [0.00, 0.03] | 85.95 (35) | 0.99 | 0.98 | 0.06 [0.05, 0.08] |