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. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: Drug Alcohol Depend. 2018 Oct 4;193:75–82. doi: 10.1016/j.drugalcdep.2018.08.021

Table 1:

Demographic composition of all participant and participant subgroups

All Participants Active on Twitter Participants Not Active on Twitter p-value Participants for Whom Twitter Data Was Collected Participants for Whom Twitter Data Was Not Collected p-value
N 1058 406 652 - 186 872 -
Age (years +/− SD) 19.18 (0.79) 19.19 (0.81) 19.18 (0.78) 0.804 19.17 (0.82) 19.19 (0.79) 0.850
Female at Birth 52.6% 55.9% 50.4% 0.309 54.3% 52.2% 0.795
Male at Birth 46.1% 43.6% 47.7% 45.7% 46.2%
Asian 14.7% 14.5% 14.8% 0.150 12.9% 15.1% 0.533
African American 19.6% 20.9% 18.7% 21.0% 19.3%
Caucasian 48.1% 51.0% 46.3% 48.9% 47.9%
American Indian or Alaskan Native 1.3% 0.5% 1.8% 0.5% 1.5%
Native Hawaiian or Pacific Islander 0.9% 0.2% 1.2% 0% 1.0%
More Than One Race 9.4% 7.9% 10.3% 10.2% 9.2%
Other 4.8% 4.9% 4.8% 6.5% 4.5%
Other/Mixed (above two rows summed) 14.2% 12.8% 15.0% 16.7% 13.6%
Hispanic/Latino 16.4% 14.5% 17.5% 0.188 14.5% 16.7% 0.476
Not Hispanic 81.9% 85.0% 80.1% 84.9% 81.3%
Not Student 19.2% 16.5% 20.9% 0.074 13.4% 20.4% 0.026*
In High School 0.9% 1.5% 0.6% 0.098 2.2% 0.7% 0.490
Pursuing GED 0.2% 0% 0.3% 0% 0.2%
In Community College 17.9% 15.8% 19.2% 18.8% 17.7%
In Vocational/Tech School 2.4% 2.2% 2.5% 2.2% 2.4%
In 4-year University/College 54.0% 59.1% 50.8% 60.2% 52.6%
In Graduate/Professional School 0.5% 0% 0.8% 0% 0.6%
Other 0.6% 0.7% 0.5% 1.1% 0.5%