Causal or spurious? The relationship of knowledge and attitudes to trust in science and technology.

Survey data on 1217 adults living in Alberta, Canada were collected by Ipsos Reid Public Affairs and made available to us for analysis. The survey questioned participants on issues related to science including their perceived knowledge of science, attitudes toward science, and trust in science and technology. We developed a structural equation model to account for the causal relations implied by the correlations among the variables in the data set. Results show that trust in generalized science and technology is a large determiner of trust in specific technologies, but that trust in specific technologies is not a determinant of overall trust in science and technology. We also found that attitudes towards science have an effect on trust in generalized science and technology whereas perceived knowledge does not. Education and gender contribute to attitudes supporting an increased personal attachment to science, which was the strongest predictor of trust in our model.