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Understanding People's Switching Intentions of Health Apps from Exterior and Interior Drivers

Table 3 The Reliability of the Measurement Model
Average
Composite
Factor
Cronbach's
Construct Indicator Loading Alpha Reliability (CR) Variance
Extracted (AVE)
AA1 0.802
AA AA2 0.881 0.838 0.897 0.745
AA3 0.904
SI1 0.920
SI SI2 0.957 0.937 0.960 0.888
SI3 0.949
DIS1 0.902
DIS2 0.954
DIS DIS3 0.958 0.968 0.975 0.886
DIS4 0.950
DIS5 0.941
PSC1 0.842
PSC2 0.935
PSC 0.934 0.951 0.828
PSC3 0.918
PSC4 0.942
HAB1 0.813
HAB HAB2 0.904 0.872 0.914 0.781
HAB3 0.930
IS1 0.961
IS IS2 0.955 0.960 0.974 0.926
IS3 0.971
* Each parameter conforms to the recommended values recognized by the scholars
Factor Loading > 0.7
Cronbach’s Alpha > 0.7
Composite Reliability > 0.7
Average Variance Extracted > 0.5

Table 4 Discriminant Validity
Construct AA SI DIS PSC HAB IS
AA 0.863
SI 0.265 0.941
DIS 0.207 -0.109 0.884
PSC 0.272 0.746 -0.141 0.962
HAB 0.181 0.385 0.160 0.291 0.910
IS 0.356 0.558 0.091 0.587 0.387 0.942
* The square root of the AVE for each construct is greater than any other correlations between the
construct and other constructs.

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