Table 1.
Participant characteristics.
Fig 1.
Histogram of the relative frequency of surveys taken by reported age of participant.
Table 2.
Data region categories from the Office for National Statistics and the Channel 4 program.
Note that “Other” may not exclusively apply to the ONS categories, described as individuals living in the Midlands and East of England.
Fig 2.
Bar plot of reported regions of residence taken from National Statistics Board as compared to current survey.
Table 3.
List of occupations.
Fig 3.
Bar plot of reported occupations sorted by relative frequency.
STEM careers depicted in dark grey, non-STEM depicted in grey, Other depicted in light grey.
Fig 4.
Histogram of the AQ scores.
Table 4.
AQ scores by demographic group.
Age, treated as a continuous variable, has been stratified for ease of presentation.
Fig 5.
Density plots for selected hypothesis-driven demographic variables. A. Sex. B. Occupation.
Table 5.
The linear regression model relating covariates to AQ score.
Female and Non-STEM used as reference levels. Correlation effect sizes = 0.1, 0.3, 0.5.
Table 6.
The binary logistic regression model relating covariates to AQ score.
Female and Non-STEM used as reference levels.