Table 7-12
Public preferences about various groups' influence on decisions about public issues: 2010 or most recent year
(Percent and mean score)
 
  Preferred degree of influence      
Public issue/group A great
deal
A fair
amount
A little None
at all
  Don't
know
Mean score
 
Global warming: deciding what to do about global warming policy              
Environmental scientists 48 37 9 3   3 3.3
Elected officials 12 35 34 17   3 2.4
Business leaders 8 22 40 27   3 2.1
Genetically modified (GM) foods: deciding whether to restrict the sale of GM foods              
Medical researchers 41 40 10 3   5 3.3
Elected officials 7 30 37 21   5 2.2
Business leaders 3 16 41 35   5 1.9
Stem cell research: deciding about government funding for stem cell research              
Medical researchers 41 39 11 5   4 3.2
Elected officials 9 32 34 21   4 2.3
Religious leaders 7 18 36 35   4 2.0
Nuclear power: deciding whether to expand the use of nuclear power              
Nuclear engineers 38 41 11 4   6 3.2
Elected officials 10 38 35 11   6 2.5
Business leaders 5 27 42 21   5 2.2
Federal income taxes: deciding whether to reduce federal income taxes              
Economists 18 55 18 4   6 2.9
Elected officials 23 39 24 9   5 2.8
Business leaders 11 41 33 10   5 2.6
 

NOTES: Responses to How much influence should each of the following groups have in deciding: what to do about global warming policy; what to do about government funding for stem cell research; whether to reduce federal income taxes; whether to expand the use of nuclear power; whether to restrict sale of genetically modified foods? Responses on global warming, stem cell research, federal income taxes, and nuclear power are for 2010. Responses on genetically modified foods are for 2006. Mean preferred influence score based on 4-point scale, where 4 = a great deal of influence, 3 = a fair amount, 2 = a little influence, and 1 = none at all. Detail may not add to total because of rounding.

SOURCE: University of Chicago, National Opinion Research Center, General Social Survey (2006, 2010). See appendix table 7-28.

Science and Engineering Indicators 2012