Abstract
ABSTRACT: Data were collected from 902 rural and urban residents of Ohio during the winter of 2003 to assess attitudes toward the production of genetically modified (GM) plants and animals. Attitudes were assessed using Likert‐type attitude statements. The theoretical perspective used in the investigation was developed from diffusion and risk perception theories. Regression modeling demonstrated that the theoretical model was very good for predicting variability in attitudes toward GM plants and animals. Approximately 61% of the variance in the dependent variable was explained by the statistical model. The findings are discussed in the context of the social acceptability of GM food and fiber products among Ohio residents.
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