Patrick Sturgis

Science in Society: Re-Evaluating the Deficit Model of Public Attitudes

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. 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. 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 characterized discussions of this relationship, this analysis highlights the complex and interacting nature of the knowledge— attitude interface.

Science knowledge and attitudes across cultures: a meta-analysis

The correlation between knowledge and attitudes has been the source of controversy in research on the public understanding of science (PUS). Although many studies, both quantitative and qualitative, have examined this issue, the results are at best diverse and at worst contradictory. In this paper, we review the evidence on the relationship between public attitudes and public knowledge about science across 40 countries using a meta-analytic approach. We fit multilevel models to data from 193 nationally representative surveys on PUS carried out since 1989. We find a small positive correlation between general attitudes towards science and general knowledge of scientific facts, after controlling for a range of possible confounding variables. This general relationship varies little across cultures but more substantially between different domains of science and technology. Our results suggest that PUS research needs to focus on understanding the mechanisms that underlie the clear association that exists between knowledge and attitudes about science.

Does Ethnic Diversity Erode Trust? Putnam’s ‘Hunkering Down’ Thesis Reconsidered

We use a multi-level modelling approach to estimate the effect of ethnic diversity on measures of generalized and strategic trust using data from a new survey in Britain with a sample size approaching 25,000 individuals. In addition to the ethnic diversity of neighbourhoods, we incorporate a range of indicators of the socio-economic characteristics of individuals and the areas in which they live. Our results show no effect of ethnic diversity on generalized trust. There is a statistically significant association between diversity and a measure of strategic trust, but in substantive terms, the effect is trivial and dwarfed by the effects of economic deprivation and the social connectedness of individuals.

Attitudes to biotechnology: estimating the opinions of a better-informed public

Public familiarity with basic scientific concepts and principles has been proposed as essential for effective democratic decision-making (Miller, 1998). Empirical research, however, finds that public ‘scientific literacy’ is generally low, falling well short of what normative criteria would consider ‘acceptable’. This has prompted calls to better engage, educate and inform the public on scientific matters, with the additional, usually implicit assumption that a knowledgeable citizenry should express more supportive and favourable attitudes toward science. Research investigating the notion that ‘to know science is to love it’ has provided only weak empirical support and has itself been criticised for representing science and technology as a unified and homogenous entity. In practice, it is argued, how knowledge impacts on the favourability of attitudes will depend on a multiplicity of factors, not least of which is the particular area of science in question and the technologies to which it gives rise (Evans & Durant, 1992). This article uses a new method for examining the knowledge-attitude nexus on a prominent area of 21st century science—biotechnology. The idea that greater scientific knowledge can engender change in the favourability of attitudes toward specific areas of science is investigated using data from the 2000 British Social Attitudes Survey and the 1999 Wellcome Consultative Panel on Gene Therapy. Together the surveys measure public opinion on particular applications of genetic technologies, including gene therapy and the use of genetic data, as well as more general attitudes towards genetic research. We focus our analysis on how two different measures of knowledge impact on these attitudes; one a general measure of scientific knowledge, the other relating specifically to knowledge of modern genetic science. We investigate what impact these knowledge domains have on attitudes towards biotechnology using a regression-based modelling technique (Bartels, 1996; Althaus, 1998; Sturgis, 2003). Controlling for a range of socio-demographic characteristics, we provide estimates of what collective and individual opinion would look like if everyone were as knowledgeable as the currently best-informed members of the general public on the knowledge domains in question. Our findings demonstrate that scientific knowledge does appear to have an important role in determining individual and group attitudes to genetic science. However, we find no support for a simple ‘deficit model’ of public understanding, as the nature of the relationship itself depends on the application of biotechnology in question and the social location of the individual.

Ethnic diversity, segregation, and the social cohesion of neighbourhoods in London

The question of whether and how ethnic diversity affects the social cohesion of communities has become an increasingly prominent and contested topic of academic and political debate. In this paper we focus on a single city: London. As possibly the most ethnically diverse conurbation on the planet, London serves as a particularly suitable test-bed for theories about the effects of ethnic heterogeneity on prosocial attitudes. We find neighbourhood ethnic diversity in London to be positively related to the perceived social cohesion of neighbourhood residents, once the level of economic deprivation is accounted for. Ethnic segregation within neighbourhoods, on the other hand, is associated with lower levels of perceived social cohesion. Both effects are strongly moderated by the age of individual residents: diversity has a positive effect on social cohesion for young people but this effect dissipates in older age groups; the reverse pattern is found for ethnic segregation.

Middle Alternatives Revisited: How the neither/nor Response Acts as a Way of Saying “I Don’t Know”?

A persistent problem in the design of bipolar attitude questions is whether or not to include a middle response alternative. On the one hand, it is reasonable to assume that people might hold opinions which are `neutral’ with regard to issues of public controversy. On the other, question designers suspect that offering a mid-point may attract respondents with no opinion, or those who lean to one side of an issue but do not wish to incur the cognitive costs required to determine a directional response. Existing research into the effects of offering a middle response alternative has predominantly used a split-ballot design, in which respondents are assigned to conditions which offer or omit a midpoint. While this body of work has been useful in demonstrating that offering or excluding a mid-point substantially influences the answers respondents provide, it does not offer any clear resolution to the question of which format yields more accurate data. In this paper, we use a different approach. We use follow-up probes administered to respondents who initially select the mid-point to determine whether they selected this alternative in order to indicate opinion neutrality, or to indicate that they do not have an opinion on the issue. We find the vast majority of responses turn out to be what we term `face-saving don’t knows’ and that reallocating these responses from the mid-point to the don’t know category significantly alters descriptive and multivariate inferences. Counter to the survey-satisficing perspective, we find that those with this tendency is greatest amongst those who express more interest in the topic area.

Religious beliefs, knowledge about science and attitudes towards medical genetics

The use of genetics in medical research is one of the most important avenues currently being explored to enhance human health. For some, the idea that we can intervene in the mechanisms of human existence at such a fundamental level can be at minimum worrying and at most repugnant. In particular, religious doctrines are likely to collide with the rapidly advancing capability for science to make such interventions. The key ingredient for acceptance of genetics, on the other hand, is prototypically assumed to be scientific literacy – familiarity and understanding of the critical facts and methods of science. However, this binary opposition between science and religion runs counter to what is often found in practice. In this paper, we examine the association between religiosity, science knowledge and attitudes to medical genetics amongst the British public. In particular, we test the hypothesis that religion acts as a ‘perceptual filter’ through which citizens acquire and use scientific knowledge in the formation of attitudes towards medical genetics in various ways.

Gender differences in scientific knowledge and attitudes toward science: Reply to Hayes and Tariq

In a recent article in this journal Hayes and Tariq (hereafter H&T) contend that their analysis of the 1993 International Social Survey Programme (ISSP) on environmental issues casts doubt on the “populist” idea that gender differences in favorable attitudes toward science can be accounted for by the different levels of scientific knowledge between men and women. While acknowledging the importance of their work in delineating the social and economic determinants of gender differences in attitudes toward science, we take issue with the interpretation they draw from their data. We argue firstly that their analysis errs in failing to recognize the importance of the order in which variables are entered into regression models and, as a consequence, draws theoretical inferences that are unwarranted by the evidence they present. Secondly, we argue that, rather than demonstrating that scientific knowledge is unimportant in explaining gender differences in attitudes toward science, their models in fact support the robustness of the positive relationship between knowledge and attitude even when controlling for a range of important mediating variables.

Knowledge and collective preferences: A comparison of two approaches to estimating the opinions of a better informed public

This article compares estimates of “informed” public opinion derived from the regression-based approach of Bartels, Delli Carpini and Keeter, and Althaus with those from the deliberative polling method of Fishkin on the same sample of respondents. Contrary to low-information rationality perspectives, both methods indicate that across a range of prominent policy domains, level of political awareness has a strong impact on the expressed preferences of individuals. And while self-canceling across respondents tends to translate these individual-level influences into only rather modest effects in the aggregate, on a significant minority of issues, substantial shifts in collective opinion remain. The broad similarity of the estimates produced by these two very different methods, in addition to their convergence with previous studies of information effects, lends some simultaneous support to the validity and reliability of both approaches.

Fictitious Issues Revisited: Political Interest, Knowledge and the Generation of Nonattitudes

It has long been suspected that, when asked to provide opinions on matters of public policy, significant numbers of those surveyed do so with only the vaguest understanding of the issues in question. In this article, we present the results of a study which demonstrates that a significant minority of the British public are, in fact, willing to provide evaluations of non-existent policy issues. In contrast to previous American research, which has found such responses to be most prevalent among the less educated, we find that the tendency to provide ‘pseudo-opinions’ is positively correlated with self-reported interest in politics. This effect is itself moderated by the context in which the political interest item is administered; when this question precedes the fictitious issue item, its effect is greater than when this order is reversed. Political knowledge, on the other hand, is associated with a lower probability of providing pseudo-opinions, though this effect is weaker than that observed for political interest. Our results support the view that responses to fictitious issue items are not generated at random, via some ‘mental coin flip’ . Instead, respondents actively seek out what they consider to be the likely meaning of the question and then respond in their own terms, through the filter of partisan loyalties and current political discourses.