Table 1.
Presession participant characteristics, overall and by department of epidemiology and biostatistics diversity, equity and inclusion workshops, 2019–2020
| Workshop 1 | Session 2 | Session 3 | Session 4 | |||
|---|---|---|---|---|---|---|
| Overall | N = 67 Freq (%) | N = 54 | N = 45 | N = 82 | p-value* | |
| Role | 0.070 | |||||
| Student | (5) | 4 (6) | 1 (2) | 3 (7%) | 5 (6%) | |
| Post doc | (6%) | 5 (7) | 0 (0%) | 2 (4%) | 7 (9%) | |
| Staff | (58%) | 28 (42%) | 38 (70%) | 29 (64%) | 48 (59%) | |
| Non-faculty academic | (6%) | 6 (9%) | 1 (2%) | 3 (7%) | 5 (6%) | |
| Faculty | (25%) | 24 (36%) | 14 (26%) | 8 (18%) | 17 (21%) | |
| Hire/supervise personnel | 0.48 | |||||
| Yes | (43%) | 31 (46%) | 21 (39%) | 15 (35%) | 39 (48%) | |
| No | (57%) | 36 (54%) | 33 (61%) | 28 (65%) | 43 (52%) | |
| Years worked in department | 0.24 | |||||
| Less than 5 | (71%) | 49 (73%) | 28 (56%) | 29 (74%) | 61 (77%) | |
| 5–10 | (9%) | 5 (7%) | 8 (16%) | 2 (5%) | 6 (8%) | |
| More than 10 | (20%) | 13 (19%) | 14 (28%) | 8 (21%) | 12 (15%) | |
| Gender | 0.26 | |||||
| Male | (25%) | 18 (27%) | 17 (31%) | 12 (27%) | 14 (17%) | |
| Female | (74%) | 49 (73%) | 37 (69%) | 31 (70%) | 67 (82%) | |
| Nonbinary | (1%) | 0 (0%) | 0 (0%) | 1 (2%) | 1 (1%) | |
| URM race/ethnicity | 0.39 | |||||
| Yes | (28%) | 23 (34%) | 16 (30%) | 12 (27%) | 18 (22%) | |
| No | (72%) | 44 (66%) | 37 (70%) | 33 (73%) | 64 (78%) | |
| LGBTQI | 0.29 | |||||
| Yes | (17%) | 7 (10%) | 11 (20%) | 10 (23%) | 13 (16%) | |
| No | (83%) | 60 (90%) | 43 (80%) | 34 (77%) | 69 (84%) |
Note: Numbers may not sum to session total due to missing response values.
URM = underrepresented minority; LGBTQI = Lesbian, Gay, Bisexual, Transgender, Queer, Intersex.
p-value for Fisher’s exact test of independence for each participant characteristic across sessions.