The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Science knowledge and attitudes across cultures: a meta-analysis
Open accessAbstract
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.
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Cites
Meta-Analytic Procedures for Social Research
Rosenthal, R. (1991) · doi:10.4135/9781412984997 · Cited by 4,635
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Publication bias in meta-analysis its causes and consequences
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Cited by
Gauchat, G. (2012) · American Sociological Review · doi:10.1177/0003122412438225 · Cited by 1,091
Drummond, C., & Fischhoff, B. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704882114 · Cited by 607
The polarizing impact of science literacy and numeracy on perceived climate change risks
Kahan, D. M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L. L., Braman, D., & Mandel, G. (2012) · Nature Climate Change · doi:10.1038/nclimate1547 · Cited by 352
The Public's Bounded Understanding of Science
Bromme, R., & Goldman, S. R. (2014) · Educational Psychologist · doi:10.1080/00461520.2014.921572 · Cited by 282
Hornberger, M., Bewersdorff, A., & Nerdel, C. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100165 · Cited by 276
Metadata
- Authors
- Allum, N., Sturgis, P., Tabourazi, D., & Brunton-Smith, I.
- Venue
- Public Understanding of Science
- Publisher
- SAGE Publications
- Published
- 2008-01
- Volume
- 17
- Issue
- 1
- Pages
- 35-54
- ISSN
- 0963-6625 (ISSN-L)
- 1361-6609
- OpenAlex
- W2151635741
- Cited by
- 669
- References
- 4
- FWCI
- 3.84
- Type
- journal article
- Language
- en
- Open access
- green
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