Table 6 Results of maximum likelihood...

Table 6

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

Factors	Item	Factor loadings	Composite reliability (CR)	Average variance extracted (AVE)
Data protection distrust	V1	0.708	0.817	0.599
	V2	0.736
	V4	0.869
Functional distrust	V5	0.687	0.727	0.471
	V6	0.733
	V8	0.635
Distrust of AI replacing humans	V10	0.830	0.756	0.512
	V11	0.649
	V13	0.653
Total variance explained (%)				53.354

Factors	Item	Factor loadings	Composite reliability (CR)	Average variance extracted (AVE)
Data protection distrust	V1	0.708	0.817	0.599
	V2	0.736
	V4	0.869
Functional distrust	V5	0.687	0.727	0.471
	V6	0.733
	V8	0.635
Distrust of AI replacing humans	V10	0.830	0.756	0.512
	V11	0.649
	V13	0.653
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

Sharing Unavailable