Data Tables Initial Knowledge of Nanotechnology Table 1. Initial Knowledge of Nanotechnology | A Lot | 2.8 | Some | 16.9 | A Little | 26.0 | Nothing | 54.2 | Total | 100 | Knowledge Re “Next Industrial Revolution” Table 2. Knowledge Re “Next Industrial Revolution” | True | 24.3 | Don’t Know | 75.1 | Not True | 0.6 | Total | 100 | Sources Of Knowledge On Nanotechnology Table 3. Sources Of Knowledge On Nanotechnology | Ads | 2.9 | 4.1 | | 3.6 | Children’s TV | 2.9 | 2.0 | 5.6 | 2.4 | Specials Public TV or Radio | 17.6 | 22.4 | 11.1 | 17.9 | Commercial TV or Radio News | 11.2 | 14.3 | 5.6 | 11.9 | Magazines | 17.1 | 8.2 | 27.8 | 17.9 | Newspaper Articles | 10.0 | 8.2 | 8.3 | 11.9 | Trade or Professional Journals | 8.2 | 6.1 | 11.1 | 8.3 | Science Fiction Books or Stories | 12.4 | 10.2 | 13.9 | 13.1 | Talk With Another Person | 16.5 | 20.4 | 16.7 | 13.1 | Internet | 0.6 | 2.0 | | | School | 0.6 | 2.0 | | | Total | 100 | 100 | 100 | 100 | Note. Respondents were allowed to identify all relevant sources of learning about nanotechnology. The frequency with which each source type was mentioned is classified above in relation to three classes of informed respondents. Attitudes In Pre and Post-Test Table 4. Attitudes In Pre and Post-Test | Quite Positive | 7.9 | 9.6 | Mostly Positive | 13.0 | 40.1 | Neutral | 37.9 | 32.2 | Mostly Negative | 0.6 | 9.6 | Don’t Know | 40.7 | 2.8 | Missing Data | | 0.6 | Total | 100 | 97.7 | Significant change: Pearson Chi-Square=84.092, df = 24, p = .000 Expectations: Will Benefits Exceed Risks? Table 5. Expectations: Will Benefits Exceed Risks? | Benefits Will Exceed Risks | 15.8 | 40.7 | Risks Will Exceed Benefits | 5.1 | 15.3 | Risks & Benefits Equal | 13.6 | 29.9 | Don’t Know | 65 | 14.1 | Total | 100 | 100 | Should Nanotechnology Products Be Banned Until Further Study? Table 6. Should Nanotechnology Products Be Banned Until Further Study? | Agree To Total Ban | 6.2 | 8.5 | Ban Is Overreacting | 35.6 | 75.7 | Don’t Know | 57.1 | 15.8 | Missing Data | 0.1 | | Total | 100 | 100 | Trust In Regulatory Agencies and Political Entities Table 7. Trust In Regulatory Agencies and Political Entities, Pre and Post-Test | Strongly Agree | 9.6 | 7.9 | 6.8 | 6.2 | 6.8 | 6.8 | 5.6 | 7.3 | | (9.6) | (6.2) | (6.2) | (9.0) | (6.2) | (6.2) | (4.5) | (2.8) | Agree | 29.4 | 23.2 | 29.4 | 30.5 | 24.3 | 23.7 | 23.2 | 18.1 | | (40.1) | (39.0) | (40.1) | (36.7) | (36.7) | (32.8) | (26.6) | (23.7) | Don’t Know | 42.4 | 41.8 | 43.5 | 40.1 | 42.4 | 45.8 | 32.8 | 35.0 | | (14.1) | (14.1) | (15.3) | (14.0) | (13.0) | (16.4) | (12.4) | (10.2) | Disagree | 14.7 | 19.8 | 15.3 | 19.2 | 19.8 | 18.1 | 26.0 | 27.1 | | (27.1) | (29.4) | (27.7) | (29.9) | (32.8) | (33.3) | (34.5) | (41.2) | Strongly Disagree | 3.4 | 6.8 | 4.5 | 3.4 | 6.2 | 5.1 | 11.9 | 12.4 | | (9.0) | (10.2) | (9.6) | (10.2) | (11.3) | (11.3) | (21.5) | (21.5) | Missing Data | 0.6 | 0.6 | 0.6 | 0.6 | 0.6 | 0.6 | 0.6 | 0.6 | | (0) | (1.2) | (1.2) | (0) | (0) | (0) | (0.6) | (0.6) | Total | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | Note. Pre-test percentages are given first in each column; directly below are percentages of the post-test answers, in brackets (FDA 6.8% strongly agree in pre-test, 6.2%, etc.). Post-Test Summary Percentages, Trust in Regulatory Agencies and Political Entities Table 8. Post-Test Summary Percentages, Trust in Regulatory Agencies and Political Entities | Strongly Agree or Agree | 50 | 46 | 46 | 46 | 43 | 39 | 31 | 27 | Don’t Know | 14 | 14 | 15 | 14 | 13 | 16 | 12 | 10 | Disagree or Strongly Disagree | 36 | 39 | 38 | 40 | 44 | 45 | 56 | 63 | Total | 100 | 99 | 99 | 100 | 100 | 100 | 99 | 100 | All percentages are rounded. *The designated percentages do not round to 100 due to a higher percentage of missing data for that entity. Can Industry Self-Regulation Be Sufficient? Table 9. Can Industry Self-Regulation Be Sufficient? | I feel government control beyond voluntary standards is necessary | 55.4 | Not sure | 32.8 | I feel voluntary standards would be adequate | 10.7 | Missing Data | 1.1 | Total | 100 | Note. This was a post-test question only, assuming that only an informed public could give a useful answer to the question. Preferred Ways Government Could Increase Public Trust Table 10. Preferred Ways Government Could Increase Public Trust | Increase safety tests before market | 34.5 | Supply more product information so people can choose | 24.9 | Show how regulatory practices are sufficient | 11.9 | Track better the product risks in market | 9.6 | Allow industry to be more self regulating | 8.5 | No top choice (multiple answers) | 3.4 | Other (write in answers) | 3.4 | Nothing needs to be done | 2.3 | Be more hands off in regulating industry | 1.7 | Total | 100 | Note. The same answer choices were available for both industry and government, with the exception of the “hands off” answer; the opportunity to write in any other answers was also available in both cases. Preferred Ways Industry Could Increase Public Trust Table 11. Preferred Ways Industry Could Increase Public Trust | Increase safety tests before market | 28.2 | Supply more product information so people can choose | 28.2 | Voluntarily use higher safety standards | 19.2 | Track risks in market better | 13.0 | Show how current reg practices are sufficient | 6.8 | Nothing needs to be done | 1.7 | Missing data | 1.7 | Other (write in answers) | 1.1 | Total | 100 | Note. The same answer choices were available for both industry and government, with the exception of the “hands off” answer shown in Table 10; the opportunity to write in any other answers was also available in both cases. |