Data were collected from 902 adult residents of Ohio during
the winter and spring of 2003 to assess ethical orientations toward genetic
engineering of plants and animals. Data were collected using a structured
questionnaire that was mailed to randomly selected people living within
rural and urban areas of the state. A return rate of 52.5 percent was
achieved using three mailings. Ethical orientations toward genetic engineering
of plants and animals were assessed using a Likert-type scale that was
shown to have a 0.84 coefficient of reliability which is considered good
by contemporary social science standards. The theoretical perspective
used to guide the investigation was developed from selected components
of social learning and risk perception theories. Structural equation modeling
was used to examine the merits of the theoretical perspective developed
to guide the investigation. Study findings revealed the theoretical model
was effective for predicting variability in ethical orientations toward
genetically engineered (GE) plants and animals. Approximately 44 percent
of the variance in the dependent variable for the total sample was explained
by the statistical model. The structured equation model developed for
the total sample was shown to be good for assessing direct and indirect
effects of several variables on ethical orientations toward GE plants
and animals. All of the significant variables within the model were shown
to be consistent with research hypotheses. Findings revealed that perceived
risk associated with the production and consumption of GE plants and animals
was the best predictor of ethical orientations toward GE products. The
data were divided into rural and urban sub-samples and analyzed using
structural equation modeling. The structural equation models were shown
to be different for rural and urban respondents. Findings are discussed
in the context of future acceptance of GE plants and animals among Ohio
residents.
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