Various theories have been offered about the significance of attributing behavioral characteristics-for example, propensity to violence, intelligence, alcoholism, and obesity-to genes or genetic inheritance. On the one hand, genetic explanations may absolve people from blame for characteristics considered socially undesirable; on the other hand, belief in genetic determinism may signify that these undesirable characteristics are unchangeable, and that efforts to improve the environment-for example, to improve educational opportunities for Blacks and women-are futile and unnecessary. Such beliefs about the role of genes are especially significant if they are used to justify discrimination or prejudice toward minority groups. ? ? Work by Jayaratne and her colleagues (forthcoming), as well as others suggests that the attribution of individual and group differences to genetic causes is greater among Whites than among Blacks, and is linked to prejudiced attitudes toward minority groups. Singer and Antonucci (unpublished) found a similarly greater tendency for Whites to attribute behavior to genes even when the question involved abstract characteristics rather than differences between groups. Our current work, on the other hand (Singer et al., in progress), finds a consistent tendency for Black raters as well as less educated raters to make more genetic attributions than White raters or better educated raters. Both race and education make an independent contribution to the rating of the behavioral characteristics. ? ? We believe that these and other differences in findings can be accounted for, in large part, by differences in the way questions have been asked-in other words, to differences in framing (CITES). The present proposal aims to test the hypothesis of framing effects empirically, using a factorial experimental design administered on the Web. Differences in framing of the survey questions are important because they are likely to reflect similar differences in the public discourse on the issue, which in turn affects public attitudes and government policies. ? ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Small Research Grants (R03)
Project #
1R03HG004063-01
Application #
7129396
Study Section
Special Emphasis Panel (ZRG1-ELS (02))
Program Officer
Mcewen, Jean
Project Start
2006-09-01
Project End
2008-07-31
Budget Start
2006-09-01
Budget End
2007-07-31
Support Year
1
Fiscal Year
2006
Total Cost
$76,000
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Biostatistics & Other Math Sci
Type
Organized Research Units
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109