Table 2 Factor analysis ‘willingness to share’
Data type | Factor loading 1 “Health/Location” | Factor loading 2 “Social Media” | Factor loading 3 “Other activities” | Factor loading 4 “Politics” | Factor loading 5 “Communication” | Factor loading 6 “Financial” |
|---|---|---|---|---|---|---|
Prescriptions | 0.708 | |||||
EHR | 0.837 | |||||
Geolocation | 0.641 | |||||
Genetic data | 0.514 | |||||
0.339 | ||||||
0.751 | ||||||
0.837 | ||||||
Snapchat | 0.785 | |||||
Online purchases | 0.345 | |||||
Music streaming | 0.471 | |||||
Yelp | 0.659 | |||||
Ridesharing | 0.763 | |||||
Fitness tracker | 0.732 | |||||
Voting history | 0.884 | |||||
0.654 | ||||||
Text message | 0.735 | |||||
Google search | 0.726 | |||||
Taxes | 0.792 | |||||
Credit card | 0.675 |