Table 2.
Comparison of respondents and non-respondents of the Australian Genomics Census showing chi-squared analysis
| Total (N) | Respondents (n, %) | Non-respondents (n, %) | χ 2 | |
|---|---|---|---|---|
| Females | 202 | 122, (60.39%) | 80, (39.60%) | χ2(1, N = 384) = 1.17, p = .28 |
| Medical specialists | 73 | 25, (34.25%) | 48, (65.75%) | χ2(1, N = 384) = 20.52, p = < .05* |
| Genetic specialists | 94 | 71, (75.79%) | 23, (24.21%) | χ2(1, N = 384) = 16.02, p = < .05* |
| Medical scientists | 100 | 52, (52.94%) | 48, (44.12%) | χ2(1, N = 384) = 1.87, p = .17 |
| Researcher^ | 42 | 27, (64.29%) | 15, (35.71%) | χ2(1, N = 384) = 0.81, p = .37 |
| Other | 75 | 47, (62.67%) | 28, (37.33%) | χ2(1, N = 384) = 0.90, p = .34 |
*p < .05 significant. ^“Researchers” include biomedical, health services and sociological researchers, and “Other” includes operational staff, students and consumers