From: Net valence analysis of iris recognition technology-based FinTech
Hypothesis | β | Bias-corrected confidence intervals (95%) | Mean | STDEV* | T statistics | P values |
---|---|---|---|---|---|---|
H1: SEB—> PVA | 0.312 | [0.194, 0.430] | 0.309 | 0.061 | 5.109 | 0.000 |
H2: COB—> PVA | 0.161 | [0.074, 0.263] | 0.160 | 0.049 | 3.309 | 0.001 |
H3: HYB—> PVA | 0.209 | [0.097, 0.326] | 0.211 | 0.059 | 3.545 | 0.000 |
H4: PER—> PVA |  − 0.029 | [− 0.078, 0.021] |  − 0.029 | 0.025 | 1.138 | 0.255 ns |
H5: FIR—> PVA |  − 0.106 | [− 0.187, − 0.031] |  − 0.106 | 0.039 | 2.690 | 0.007 |
H6: PRR—> PVA |  − 0.151 | [− 0.244, − 0.058] |  − 0.152 | 0.047 | 3.201 | 0.001 |
H7: PHR—> PVA |  − 0.101 | [− 0.168, − 0.036] |  − 0.103 | 0.034 | 3.001 | 0.003 |
H8: PVA—> INT | 0.549 | [0.470, 0.622] | 0.553 | 0.039 | 14.139 | 0.000 |