Table 3.
Characteristic/opinion | China n = 121 (100 %) | Canada n = 86 (100 %) | t | p value |
---|---|---|---|---|
1. Current role | ||||
A scientist | 69 (57 %) | 25 (29 %) | 3.98 | p < 0.05* |
A policy maker | 23 (19 %) | 26 (30 %) | −1.83 | n.s. |
Both a scientist and a policy maker | 29 (24 %) | 35 (41 %) | −2.60 | p < 0.05* |
2. Years working as a scientist | ||||
Never | 23 (19 %) | 26 (30 %) | −1.83 | n.s. |
1–9 years | 12 (10 %) | 13 (15 %) | −1.09 | n.s. |
10–19 years | 34 (28 %) | 18 (21 %) | 1.14 | n.s. |
20+ years | 52 (43 %) | 29 (34 %) | 1.31 | n.s. |
3. Years working as a policy maker | ||||
Never | 69 (57 %) | 25 (29 %) | 3.98 | p < 0.05* |
1-9 years | 24 (20 %) | 17 (20 %) | 0.00 | n.s. |
10–19 years | 20 (17 %) | 33 (38 %) | −3.41 | p < 0.05* |
20+ years | 8 (7 %) | 11 (13 %) | −1.45 | n.s. |
4. Sex | ||||
Male | 75 (62 %) | 40 (47 %) | 2.14 | p < 0.05* |
Female | 46 (38 %) | 46 (53 %) | −2.14 | p < 0.05* |
5. Age | ||||
<35 years | 11 (9 %) | 1 (1 %) | 2.45 | p < 0.05* |
35–54 years | 94 (78 %) | 44 (51 %) | 4.06 | p < 0.05* |
55+ years | 16 (13 %) | 41 (48 %) | −5.56 | p < 0.05* |
6. How important do you think it is to bridge the gap between science and policy? | ||||
Very important | 78 (64 %) | 68 (79 %) | −2.33 | p < 0.05* |
Somewhat important | 36 (30 %) | 14 (16 %) | 2.32 | p < 0.05* |
Neither important nor unimportant | 6 (5 %) | 3 (3 %) | 0.71 | n.s. |
Somewhat unimportant | 1 (1 %) | 0 (0 %) | 0.93 | n.s. |
Very unimportant | 0 (0 %) | 1 (1 %) | −1.10 | n.s. |
n.s. non-significant
*p < 0.05 (two-sided), **p < 0.01 (two-sided)