Table 6

Results of maximum likelihood factor analysis with promax rotation: Factor loadings, AVEs, and model fit indicators (N = 200)

FactorsItemFactor loadingsComposite reliability (CR)Average variance extracted (AVE)
Data protection distrustV10.7080.8170.599
V20.736
V40.869
Functional distrustV50.6870.7270.471
V60.733
V80.635
Distrust of AI replacing humansV100.8300.7560.512
V110.649
V130.653
Total variance explained (%)    53.354

Note(s): Extraction method: Maximum Likelihood Factor Analysis (MLFA)

Rotation method: Promax rotation with Kaiser normalization (κ = 4)

Model fit indices: χ2(12) = 16.200, p = 0.182. RMSEA: 0.041

Source(s): Authors’ own work
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