Table 3.
Associations Between Identity/Background and Autism-Specific Hiring
| Demographic | In an autism-specific role | In a general employment role | Chi square |
|---|---|---|---|
| Gender identity** | |||
| Male result | 14 (11%) | 114 (89%) | χ2(2) = 16.986, p < 0.001, d = 0.386** |
| Male expected (exp.) | 5.8 | 117.2 | |
| Female result | 2 (0.01) | 208 (99.9%) | |
| Female exp. | 10.2 | 206.5 | |
| Non-binary result | 0 (0%) | 43 (100%) | |
| Non-binary exp. | 2 | 41.3 | |
| Gender status | |||
| Trans result | 0 (0%) | 29 (100%) | χ2(1) = 1.539, p = 0.215 |
| Trans exp. | 1.4 | 27.6 | |
| Cis result | 17 (0.05%) | 319 (99.95%) | |
| Cis exp. | 15.6 | 320.4 | |
| LGBQ+ compared with heterosexual | |||
| LGBQ+ result | 5 (0.03%) | 152 (99.97%) | χ2(1) = 0.774, p = 0.379 |
| LGBQ+ exp. | 6.7 | 150.3 | |
| Heterosexual result | 11 (0.05%) | 207 (99.95%) | |
| Heterosexual exp. | 9.3 | 208.7 | |
| GEM/White | |||
| GEM result | 3 (0.07%) | 41 (99.93%) | χ2(1) = 0.343, p = 0.558 |
| GEM exp. | 2.2 | 41.8 | |
| White result | 14 (0.04%) | 300 (99.96%) | |
| White exp. | 15.8 | 299.2 | |
| Location | |||
| North America result | 4 (0.05%) | 75 (99.95%) | χ2(3) = 2.074, p = 0.557, |
| North America exp. | 3.7 | 75.3 | |
| Europe result | 10 (0.04%) | 243 (99.96%) | |
| Europe exp. | 11.8 | 241.2 | |
| Australasia result | 1 (0.04%) | 22 (99.96%) | |
| Australasia exp. | 1.1 | 21.9 | |
| RoW result | 3 (0.1%) | 28 (99.9%) | |
| RoW exp. | 1.4 | 29.6 | |
| SES | |||
| Low SES result | 2 (0.03%) | 61 (99.97%) | χ2(2) = 1.482, p = 0.477 |
| Low SES exp. | 2.5 | 60.5 | |
| Med SES result | 3 (0.03%) | 114 (99.97%) | |
| Med SES exp. | 4.7 | 112.3 | |
| High SES result | 10 (0.05%) | 181 (99.95%) | |
| High SES exp. | 7.7 | 183.3 | |
Result reported first (with percentages in parentheses) followed by expected count, as determined by relative prevalence, shown in italics.
**
Double asterisk and emboldened numbers indicate significance.