Observable characteristics, such as gender, age, and physical attractiveness.
Interpretations of other aspects, such as gender, country of PhD, and cohort effect, among others, are also discussed.
That data often contains "profile" data about a person, such as gender, approximate age, and location.
The differences across the demographic variables such as gender, age and occupations were also examined.
The influence of confounding factors such as gender, ethnicity and co-infections is unproven.
However, individual characteristics such as gender, occupation, location, and age were not significantly predictive of awareness.
Other variables, such as gender and handedness, also showed some differences.
In addition, the attitudes varied depending on personal characteristics such as gender, age and income.
Analyses of disaggregated data characteristics based on attributes such as gender are also presented.
Previously, advertisers could only target users based data such as gender, location and followers.
It factored in characteristics such as gender, eligibility for free school meals, special educational needs status and prior educational attainment.
