A social representations approach to the comparison of three textual corpora using ALCESTE

Three corpora of textual data on biotechnology from a range of sources(newspaper articles, focus group transcriptions and responses to an open-ended question from a survey) were analysed using the computer programALCESTE. A comparison of characteristic classes of words from eachcorpus was made in order to identify the stable components in the public’sperception of biotechnology seen in differing communicative contexts. Theresults indicate that at least three distinct representations are present in allthe spheres of discourse explored. The steps required to prepare text andcarry out analyses using the program are described, and an assessment ismade of the method and its prospects as a research tool

Consequences of mid-stream mode-switching in a panel survey

Face-to-face (F2F) interviews produce population estimates that are widely regarded as the ‘gold standard’ in social research. Response rates tend to be higher with face-to-face interviews than other modes and face-to-face interviewers can exploit both spoken and visual information about the respondent’s performance to help assure high quality data. However, with marginal costs per respondent much higher for F2F than online data collection, survey researchers are looking for ways to exploit these lower costs with minimum loss of data quality. In panel studies, one way of doing this is to recruit probability samples F2F and subsequently switch data collection to web mode. In this paper, we examine the effect on data quality of inviting a subsample of respondents in a probability-based panel survey to complete interviews on the web instead of F2F. We use accuracy of respondents’ recall of facts and subjective states over a five-year period in the areas of health and employment as indicators of data quality with which we can compare switching and non-switching respondents. We find evidence of only small differences in recall accuracy across modes and attribute this mainly to selection effects rather than measurement effects

Public perception of scientists: Experimental evidence on the role of sociodemographic, partisan, and professional characteristics

Previous research shows that public trust in scientists is often bound up with the messages that they convey and the context in which they communicate. However, in the current study, we examine how the public perceives scientists based on the characteristics of scientists themselves, irrespective of their scientific message and its context. Using a quota sample of U.S. adults, we investigate how scientists’ sociodemographic; partisan; and professional characteristics affect preferences and trust towards them as a scientific adviser to local government. We find that scientists’ party identification and professional characteristics appear to be prominent to understand public preferences towards them

Enabling and constraining successful reablement: Individual and neighbourhood factors

Using multilevel logistic regression to analyse management data of reablement episodes collected by Essex County Council, a UK local authority, this article identifies constraining and enabling factors for successful reablement. Overall, 59.5% of reablement clients were classed as able to care for themselves when assessed after 13 weeks following the reablement intervention (N = 8,118). Several age-related, disability, referral, and social factors were found to constrain reablement, but some of the largest constraining effects were neighbourhood deprivation as measured through the Index of Multiple Deprivation and, particularly, unfavourable geodemographic profiles as measured through Experian Mosaic consumer classifications. The results suggest that in order to optimise reablement, programmes should consider broader social and environmental influences on reablement rather than only individual and organisational aspects. Reablement might also be better tailored and intensified for client groups with particular underlying disabilities and for those displaying specific geodemographic characteristics

Disparities in science literacy

Much is known about how adult science literacy varies internationally and over time, and about its association with attitudes and beliefs. However, less is known about disparities in science literacy across racial and ethnic groups. This is particularly surprising in light of substantial research on racial and ethnic disparities in related areas such as educational achievement, math and reading ability, representation in science, technology, engineering, and math (STEM) occupations, and health literacy. Given the importance of science literacy to securing and sustaining many jobs, to understanding key health concepts to enhance quality of life, and to increasing public engagement in societal decision-making, it is concerning if the distribution of science literacy is unequally stratified, particularly if this stratification reflects broader patterns of disadvantage and cultural dominance as experienced by minorities and educationally underserved populations. We describe here such disparities in science literacy in the United States and attempt to explain underlying drivers, concluding that the science literacy disadvantage among black and Hispanic adults relative to whites is only partially explained by measures of broader, foundational literacies and socioeconomic status (SES)

Who should take responsibility for integrity in research?

Reflecting on comparisons with the US and the results of the recent International Research Integrity Survey (IRIS), George Gaskell, Nick Allum, Miriam Bidoglia and Abigail-Kate Reid argue that robust research integrity cultures depend on support from different institutions across the research ecosystem

Testing the cultural-invariance hypothesis: a global analysis of the relationship between scientific knowledge and attitudes to science

A substantial body of research has demonstrated that science knowledge is correlated with attitudes towards science, with most studies finding a positive relationship between the two constructs; people who are more knowledgeable about science tend to be more positive about it. However, this evidence base has been almost exclusively confined to high and middle-income democracies, with poorer and less developed nations excluded from consideration. In this study, we conduct the first global investigation of the science knowledge-attitude relationship, using the 2018 Wellcome Global Monitor survey. Our results show a positive knowledge-attitude correlation in all but one of the 144 countries investigated. This robust cross-national relationship is consistent across both science literacy and self-assessed measures of science knowledge