Table 3 Factor analysis ‘relatedness to health’
Data type | Factor loading 1 “Social Media” | Factor loading 2 “Heath” | Factor loading 3 “Financial/Location” | Factor loading 4 “Apps” | Factor loading 5 “Communication Commerce” |
|---|---|---|---|---|---|
0.634 | |||||
0.988 | |||||
0.870 | |||||
Snapchat | 0.896 | ||||
Yelp | 0.308 | ||||
Google search | 0.393 | ||||
Genetic data | 0.573 | ||||
EHR | 0.672 | ||||
Fitness tracker | 0.832 | ||||
Taxes | 0.613 | ||||
Credit card | 0.821 | ||||
Voting history | 0.527 | ||||
Geolocation | 0.629 | ||||
Music streaming | 0.844 | ||||
Ridesharing | 0.463 | ||||
0.798 | |||||
Text message | 0.713 | ||||
Online purchases | 0.339 |