Affiliation | Maryland | Washington | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
For (n=188) | Against (n=157) | For (n=141) | Against (n=52) | |||||||||||
No. | % | No. | % | No. | % | No. | % | |||||||
Tobacco | 2 | 1 | 55 | 35 | 0 | 0 | 9 | 17 | ||||||
Other industry/corporation | 3 | 2 | 2 | 1 | 3 | 2 | 3 | 6 | ||||||
Small business owners | 23 | 12 | 17 | 11 | 16 | 11 | 18 | 35 | ||||||
Business/merchant organisation s | 3 | 2 | 24 | 15 | 2 | 1 | 3 | 6 | ||||||
Labour organisation | 2 | 1 | 14 | 9 | 0 | 0 | 1 | 2 | ||||||
Private practice/consulting | 9 | 5 | 4 | 3 | 0 | 0 | 4 | 8 | ||||||
Government | 28 | 15 | 6 | 4 | 17 | 12 | 2 | 4 | ||||||
Lay activist organisation | 53 | 28 | 1 | 1 | 32 | 23 | 0 | 0 | ||||||
Health professional organisation/provider | 10 | 5 | 0 | 0 | 34 | 24 | 0 | 0 | ||||||
University/college | 15 | 8 | 0 | 0 | 4 | 3 | 0 | 0 | ||||||
No affiliation | 37 | 20 | 34 | 22 | 32 | 23 | 12 | 23 | ||||||
Unknown affiliation/other | 3 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | ||||||
p = 0.0001 Pearson χ2 | p = 0.0001 Pearson χ2 |
The χ2 statistic was used to test for differences in the distribution of affiliations between commentators in support of the regulation and commentators against. The distribution of affiliations was significantly different between the two groups in both Maryland and Washington.