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. 2020 Jul 22;20:170. doi: 10.1186/s12911-020-01191-1

Table 3.

Results of discriminant validity

Construct Mean SD. PPA PSB PPC PT PCB PUS PL PB PR INT
PPA 3.48 0.99 0.842
PSB 3.19 1.03 0.499 0.833
PPC 3.41 1.10 0.437 0.439 0.875
PMT 3.14 0.98 −0.328 −0.177 −0.127 0.866
PCB 3.62 1.08 0.377 0.403 0.320 −0.168 0.859
PUS 3.67 1.04 0.437 0.438 0.446 −0.160 0.459 0.878
PL 3.69 1.06 0.455 0.396 0.399 −0.235 0.555 0.526 0.861
PB 3.76 1.03 −0.186 − 0.137 − 0.048 0.495 − 0.045 0.049 − 0.045 0.839
PR 3.49 0.96 0.451 0.464 0.515 −0.478 0.596 0.522 0.553 −0.272 0.818
INT 3.33 1.08 −0.338 −0.192 − 0.158 0.453 − 0.214 −0.156 − 0.220 0.610 − 0.338 0.870

Table legend: PPA Perceived Performance Anxiety, PSB Perceived Social Biases, PPC Perceived Privacy Concerns, PMT Perceived Mistrust in AI Mechanisms, PCB Perceived Communication Barriers, PUS Perceived Unregulated Standards, PL Perceived Liability Issues, PB Perceived Benefits, PR Perceived Risks, INT Intention to Use AI-based Tools