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. 2021 Dec 8;18(24):12953. doi: 10.3390/ijerph182412953

Table 2.

Alignment Fit Statistics.

Factor Loadings Intercepts Factor Loadings + Intercepts
Item Code Fit Function Contribution R2 Fit Function Contribution R2 Total Contribution
Useless
Item 1 −136.881 0.878 −163.207 0.814 −300.088
Item 2 −134.464 0.898 −152.257 0.902 −286.721
Item 3 −131.675 0.943 −127.993 0.969 −259.668
Item 4 −130.332 0.943 −133.887 0.940 −264.220
Distrust
Item 5 −164.872 0.249 −242.401 0.509 −407.273
Item 6 −187.521 0.452 −197.492 0.825 −385.013
Item 7 −165.045 0.346 −183.488 0.789 −348.532
Item 8 −145.813 0.649 −162.651 0.815 −308.465
Item 9 −150.295 0.663 −173.275 0.882 −323.570
Item 10 −159.713 0.103 −217.085 0.000 −376.798
Populism
Item 11 −143.368 0.624 −187.273 0.727 −330.641
Item 12 −149.007 0.763 −201.916 0.869 −350.923
Item 13 −185.306 0.557 −226.041 0.737 −411.347

Note: The R2 value gives the parameter variation across groups in the configural model that is explained by variation in the factor mean and factor variance across groups. A value close to 1 implies a high degree of invariance and a value close to 0 implies a low degree of invariance (Asparouhov and Muthén, 2014, p. 6 [44]).