TABLE 3.
Gender | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total sample | Male | Female | |||||||||||||
Variable | N | M | (SD) | Median | N | M | (SD) | Median | N | M | (SD) | Median | F (df) | p | Cohen's d |
Amount of research shutdown a | 184 | 2.45 | (1.62) | 3 | 42 | 2.60 | 1.59 | 2.5 | 139 | 2.40 | 1.63 | 3 | 0.46 (1,179) | .501 | 0.12 |
Concerns | |||||||||||||||
Staffing | 186 | 3.73 | (3.15) | 3 | 43 | 4.91 | 2.88 | 5 | 140 | 3.37 | 3.12 | 3 | 8.27 (1,181) | .004 | 0.50 |
Budget | 186 | 3.73 | (2.97) | 3 | 43 | 4.14 | 2.95 | 4 | 140 | 3.60 | 2.94 | 3 | 1.11 (1,181) | .294 | 0.18 |
Data collection | 187 | 6.22 | (2.99) | 6 | 43 | 6.02 | 2.53 | 6 | 141 | 6.33 | 3.00 | 7 | 0.38 (1,182) | .540 | 0.11 |
Recruitment | 186 | 6.15 | (3.17) | 7 | 43 | 6.26 | 2.92 | 7 | 140 | 6.08 | 3.25 | 6.5 | 0.10 (1,181) | .749 | 0.06 |
Institutional approval | 185 | 2.87 | (2.95) | 2 | 43 | 3.58 | 3.21 | 3 | 139 | 2.64 | 2.78 | 2 | 3.49 (1,180) | .063 | 0.33 |
Supply procurement | 184 | 2.49 | (2.82) | 2 | 42 | 3.33 | 3.28 | 2 | 139 | 2.26 | 2.64 | 1 | 4.75 (1,179) | .031 | 0.39 |
Future funding | 182 | 6.48 | (2.85) | 7 | 42 | 5.98 | 2.72 | 6.5 | 138 | 6.62 | 2.88 | 7 | 1.63 (1,178) | .203 | 0.23 |
Impact on career | 157 | 4.92 | (3.42) | 5 | 35 | 3.14 | 3.36 | 1 | 119 | 5.45 | 3.25 | 6 | 13.3 (1,152) | <.001 | 0.71 |
Stress level | 183 | 6.70 | (2.22) | 7 | 43 | 6.19 | 2.59 | 5 | 137 | 6.88 | 2.08 | 7 | 3.18 (1,178) | .076 | 0.31 |
Note: Aside from the item asking about “Amount of research shutdown” (see below), all other items were rated on a 10‐point scale from 0 (no concern/no stress) to 10 (extreme concern/extreme stress).
Abbreviations: M, mean; SD, standard deviation.
The “Amount of research shutdown” item was coded on a 6‐point scale as follows: 1 = 0% of research shutdown; 2 = up to 20% of research shutdown; 3 = up to 40% of research shutdown; 4 = up to 60% of research shutdown; 5 = up to 80% of research shut down; 6 = up to 100% of research shutdown.