The ‘deficit model’ of public attitudes towards science has led to controversy over the role of scientific knowledge in explaining lay people’s attitudes towards science. The most sustained critique has come from what we refer to as the ‘contextualist’ perspective. In this view, people’s understanding of the ways in which science is embedded within wider political, economic and regulatory settings is fundamental for explaining their attitudes towards science. Most work adopting this perspective has relied on qualitative case studies as empirical evidence. In this paper we challenge the de facto orthodoxy that has connected the deficit model and contextualist perspectives with quantitative and qualitative research methods respectively. We simultaneously test hypotheses from both theoretical approaches using quantitative methodology. We use data from the 1996 British Social Attitudes Survey to investigate the interacting effects of different domains of scientific and contextual knowledge on public attitudes toward science. The results point to the clear importance of knowledge as a determinant of attitudes toward science. However, in contrast to the rather simplistic deficit model that has traditionally characterised discussions of this relationship, this analysis highlights the complex and interacting nature of the knowledge-attitude interface.