Whom Do We Trust on Social Policy Interventions?

Basic and Applied Social Psychology

Volumn 40, Issue 5, 2018, Pages 249-268

  Osman, Magda ^a   Fenton, Norman ^a   Pilditch, Toby ^b   Lagnado, David ^b   Neil, Martin ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BEHAVIOR CHANGE; CONTROLLED STUDY; GOVERNMENT; HUMAN; MAJOR CLINICAL STUDY; SCIENTIST; TRACTION THERAPY; TRUST;

EID: 85050950086     PISSN: 01973533     EISSN: None     Source Type: Journal    
DOI: 10.1080/01973533.2018.1469986     Document Type: Article

References (85)

1. Agena (2017), ‘AgenaRisk Software’, http://www.agenarisk
2. Alemanno, A. (2012). Nudging smokers–The behavioural turn of tobacco risk regulation. European Journal of Risk Regulation, 1, 32–42. https://doi.org/10.1017/S1867299X00001781
3. Amos, C., Holmes, G., & Strutton, D. (2008). Exploring the relationship between celebrity endorser effects and advertising effectiveness: A quantitative synthesis of effect size. International Journal of Advertising, 27(2), 209–234. doi:10.1080/02650487.2008.11073052
4. Arad, A., & Rubinstein, A. (2015). The People’s Perspective on Libertarian-Paternalistic Policies. Unpublished Manuscript. http://arielrubinstein.tau.ac.il/papers/LP.pdf
5. Åvitsland, A., Solbraa, A. K., & Riiser, A. (2017). Promoting workplace stair climbing: sometimes, not interfering is the best. Archives of public health, 75(1), 2. doi:10.1186/s13690-016-0170-8
6. Bakeman, R. (2005). Recommended effect size statistics for repeated measure designs. Behavior Research Methods, 37, 379–384. doi: doi:10.3758/BF03192707
7. Barlett, J. E., Kotrlik, J. W., & Higgins, C. C. (2001). Organizational research: Determining appropriate sample size in survey research. Information technology, learning, and performance Journal, 19, 43–50
8. BAYES-KNOWLEDGE. (2017). ERC project ERC-2013-AdG339182 http://bayes-knowledge.com/Models/scientific_plausibility.cmp
9. Benartzi, S., Beshears, J., Milkman, K. L., Sunstein, C. R., Thaler, R. H., Shankar, M., … Galing, S. (2017). Should governments invest more in nudging? Psychological science, 28(8), 1041–1055
10. Berman, E. R., & Johnson, R. K. (2015). The unintended consequences of changes in beverage options and the removal of bottled water on a university campus. American journal of public health, 105, 1404–1408. doi:10.2105/AJPH.2015.302593
11. Brossard, D. (2013). New media landscapes and the science information consumer. Proceedings of the National Academy of Sciences, 110(Supplement 3), 14096–14101. doi:10.1073/pnas.1212744110
12. Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological review, 108(3), 624–652. doi:10.1037/0033-295X.108.3.624
13. Cho, M. K., Shohara, R., Schissel, A., & Rennie, D. (2000). Policies on faculty conflicts of interest at US universities. Jama, 284(17), 2203–2208. doi:10.1001/jama.284.17.2203
14. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum
15. Critchley, C. R. (2008). Public opinion and trust in scientists: The role of the research context, and the perceived motivation of stem cell researchers. Public Understanding of Science, 17, 309–327. doi:10.1177/0963662506070162
16. Curchin, K. (2017). Using behavioural insights to argue for a stronger social safety net: Beyond libertarian paternalism. Journal of Social Policy, 46, 231–249. doi:10.1017/S0047279416000672
17. Dana, J., & Loewenstein, G. (2003). A social science perspective on gifts to physicians from industry. JAMA, 290, 252–255 doi:10.1001/jama.290.2.252
18. Diepeveen, S., Ling, T., Suhrcke, M., Roland, M., & Marteau, T. M. (2013). Public acceptability of government intervention to change health-related behaviours: A systematic review and narrative synthesis. BMC Public Health, 13, 1–11. doi:10.1186/1471-2458-13-756
19. Drescher, L. S., Roosen, J., & Marette, S. (2014). The effects of traffic light labels and involvement on consumer choices for food and financial products. International journal of consumer studies, 38(3), 217–227. doi:10.1111/ijcs.12086
20. Elliott, K. C., & Resnik, D. B. (2014). Science, policy, and the transparency of values. Environmental health perspectives, 122(7), 647–650. doi:10.1289/ehp.1408107
21. Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual review of psychology, 47(1), 273–305. doi:10.1146/annurev.psych.47.1.273
22. Felsen, G., Castelo, N., & Reiner, P. B. (2013). Decisional enhancement and autonomy: Public attitudes towards overt and covert nudges. Judgment and Decision Making, 8, 202–213
23. Fenton, N. E., & Neil, M. (2012). Risk Assessment and Decision Analysis with Bayesian Networks, UK: CRC Press
24. Fleck, N., Korchia, M., & Le Roy, I. (2012). Celebrities in advertising: looking for congruence or likability? Psychology & Marketing, 29(9), 651–662. doi:10.1002/mar.20551
25. Gauchat, G. (2012). Politicization of science in the public sphere: A study of public trust in the United States, 1974 to 2010. American Sociological Review, 77, 167–187. doi:10.1177/0003122412438225
26. Grüne-Yanoff, T., & Hertwig, R. (2016). Nudge versus boost: How coherent are policy and theory? Minds and Machines, 26, 149–183. doi:10.1007/s11023-015-9367-9
27. Hagman, W., Andersson, D., Västfjäll, D., & Tinghög, G. (2015). Public views on policies involving nudges. Review of Philosophy and Psychology, 6, 439–453. doi:10.1007/s13164-015-0263-2
28. Hedlin, S., & Sunstein, C. R. (2016). Does active choosing promote green energy use: Experimental evidence. Ecology Law Quarterly, 43, 107–142. https://doi.org/10.15779/Z387G30
29. Hmielowski, J., Feldman, L., Myers, T., Leiserowitz, A., & Maibach, E. (2014). An attack on science? Media use, trust in scientists, and perceptions of global warming. Public Understanding of Science, 23, 866–883. doi:10.1177/0963662513480091
30. House of Lords. (2011). Science and Technology Select Committee. ‘2nd Report of Session 2010–12: Behaviour Change’ Authority of the House of Lords, London
31. Hovland, C., Janis, I., & Kelley, H. (1953). Communication andpersuasion. New Haven, CT: Yale University Press
32. Ipsos MORI. (2016). ‘Politicians are still trusted less than estate agents, journalists and bankers’, Retrieved from https://www.ipsos-mori.com/researchpublications/researcharchive/3685/Politicians-are-still-trusted-less-than-estate-agents-journalists-and-bankers.aspx [accessed 11 July 2016]
33. Jarosz, A. F., & Wiley, J. (2014). What are the odds? A practical guide to computing and reporting Bayes factors. The Journal of Problem Solving, 7, 2–9. doi:10.7771/1932-6246.1167
34. Jeffreys, H. (1961). Theory of probability. Oxford UK: Oxford University Press
35. Johnson, E. J., & Goldstein, D. (2003). Do defaults save lives?. Science, 302, 1338–1339. doi:10.1126/science.1091721
36. Jung, J. Y., & Mellers, B. A. M. (2016). American attitudes toward nudges. Judgment and Decision Making, 11, 62–74
37. Kamins, M. A., & Gupta, K. (1994). Congruence between spokesperson and product type: A matchup hypothesis perspective. Psychology & Marketing, 11(6), 569–586. doi:10.1002/mar.4220110605
38. Kerr, J., Eves, F., & Carroll, D. (2001). Can posters prompt stair use in a worksite environment? Journal of Occupational Health, 43(4), 205–207. doi:10.1539/joh.43.205
39. Lang, J. T., & Hallman, W. K. (2005). Who does the public trust? The case of genetically modified food in the United States. Risk Analysis, 25, 1241–1252. doi:10.1111/j.1539-6924.2005.00668.x
40. Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106–131. doi:10.1177/1529100612451018
41. Lewandowsky, S., & Oberauer, K. (2016). Motivated rejection of science. Current Directions in Psychological Science, 25, 217–222. doi:10.1177/0963721416654436
42. Lin, Y., Osman, M., & Ashcroft, R. (2017). Nudge: Concept, effectiveness, and ethics. Basic and Applied Social Psychology, 39(6), 293–306. doi:10.1080/01973533.2017.1356304
43. Löfstedt, R. E. (2003). Science communication and the Swedish acrylamide “alarm”. Journal of Health Communication, 8(5), 407–432. doi:10.1080/713852123
44. Löfstedt, R. (2005). Risk management in post-trust societies. New York: Palgrave Macmillan
45. Lupia, A. (2013). Communicating science in politicized environments. Proceedings of the National Academy of Sciences, 110(Supplement 3), 14048–14054. doi:10.1073/pnas.1212726110
46. Marshall, A. L, Bauman, A. E., Patch, C., Wilson, J., & Chen, J. (2002). Can motivational signs prompt increases in incidental physical activity in an Australian health-care facility? Health Education Research, 17, 743–749. doi:10.1093/her/17.6.743
47. Marques, M. D., Critchley, C. R., & Walshe, J. (2015). Attitudes to genetically modified food over time: How trust in organizations and the media cycle predict support. Public Understanding of Science, 24, 601–618. doi:10.1177/0963662514542372
48. Marteau, T. M. (2017). Towards environmentally sustainable human behaviour: targeting non-conscious and conscious processes for effective and acceptable policies. Philosophical Transactions of the Royal Society A, 375, 20160371. doi:10.1098/rsta.2016.0371
49. Marteau, T., M., Ogilvie, D., Roland, M., Suhrcke, M., & Kelly, M. (2011). Judging nudging: can nudging improve population health? British Medical Journal, 342, 263–265. doi:10.1136/bmj.d228
50. Mazzocchi, M, Cagnone, S.,Bech-Larsen, T., Niedźwiedzka, B., Saba, A., Shankar, B., … Traill, B. (2015). What is the public appetite for healthy eating policies? Evidence from a cross-European survey. Health Economics, Policy and Law, 10(3), 267–292. doi:10.1017/S1744133114000346
51. McComas, K. A. (2008). Session 5: Nutrition communication. The role of trust in health communication and the effect of conflicts of interest among scientists: Symposium on ‘The challenge of translating nutrition research into public health nutrition’. Proceedings of the Nutrition Society, 67(4), 428–436. doi:10.1017/S0029665108008689
52. McGuire, W. J. (1978). An information-processing model of advertising effectiveness. In H. L., Davis & A. J., Silk (Eds.), Behavioral and management sciences in marketing (pp. 156–180). New York, NY: Wiley
53. McKnight, J., & Coronel, J. C. (2017). Evaluating scientists as sources of science information: Evidence from eye movements. Journal of Communication, 67(4), 565–585. doi:10.1111/jcom.12317
54. Michie, S., van Stralen, M. M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science, 6, 42. doi:10.1186/1748-5908-6-42
55. Morton, T. A., Haslam, S. A., Postmes, T., & Ryan, M. K. (2006). We Value What Values Us: The Appeal of Identity‐Affirming Science. Political Psychology, 27, 823–838. doi:10.1111/j.1467-9221.2006.00539.x
56. Nauroth, P., Gollwitzer, M., Bender, J., & Rothmund, T. (2014). Gamers against science: The case of the violent video games debate. European Journal of Social Psychology, 44, 104–116. doi:10.1002/ejsp.1998
57. Nisbett, R. E., & Wilson, T. D. (1977). The halo effect: Evidence for unconscious alteration of judgments. Journal of personality and social psychology, 35(4), 250–256. doi:10.1037/0022-3514.35.4.250
58. Notebaert, W., Gevers, W., Verbruggen, F., & Liefooghe, B. (2006). Top-down and bottom-up sequential modulations of congruency effects. Psychonomic bulletin & review, 13(1), 112–117. doi:10.3758/BF03193821
59. Oliver, A. (2013). From nudging to budging: using behavioural economics to inform public sector policy. Journal of Social Policy, 42, 685–700. doi:10.1017/S0047279413000299
60. Oreskes, N., & Conway, E. M. (2011). Merchants of doubt: How a handful of scientists obscured the truth on issues from tobacco smoke to global warming, USA: Bloomsbury Publishing
61. Osman, M., (2014). Future-minded: The psychology of agency and control, New York, NY: Palgrave Macmillan
62. Osman, M. (2016). Nudge: How Far Have We Come?. OEconomia. History, Methodology, Philosophy, 6–4, 557–570. http://oeconomia.revues.org/2490 ISSN: 2269-8450
63. Petty, R. E., & Cacioppo, J. T. (1986). Communication and persuasion: Central and peripheral routes to attitude change. New York: Springer-Verlag
64. Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in experimental social psychology, 19, 123–205. doi:10.1016/S0065-2601(08)60214-2
65. Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades' evidence. Journal of applied social psychology, 34(2), 243–281. doi:10.1111/j.1559-1816.2004.tb02547.x
66. Reisch, L. A., & Sunstein, C. R. (2016). Do Europeans like nudges? Judgment and Decision Making, 11, 310–325
67. Reisch, L., Sunstein, C. R., & Gwozdz, W. (2016). Better Than A Whip? European Attitudes Toward Health Nudges. Food Policy, 69, 1–10. doi.10.2139/ssrn.2836325
68. Rosenstock, L., & Lee, L. J. (2002). Attacks on science: The risks to evidence-based policy. American Journal of Public Health, 92(1), 14–18. doi:10.2105/AJPH.92.1.14
69. Sniezek, J. A., & Van Swol, L. M. (2001). Trust, confidence, and expertise in a judge-advisor system. Organizational behavior and human decision processes, 84(2), 288–307. doi:10.1006/obhd.2000.2926
70. Strong, S. I. (2017). Alternative facts and the post-truth society: Meeting the challenge. University of Pennsylvania Law Review Online, 165, 137–147
71. Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of experimental psychology, 18(6), 643–662. doi:10.1037/h0054651
72. Sturgis, P., & Allum, N. (2004). Science in society: Re-evaluating the deficit model of public attitudes. Public understanding of science, 13, 55–74. doi:10.1177/0963662504042690
73. Sunstein, C. R. (2014). Simpler: The future of government. USA: Simon and Schuster
74. Sunstein, C. R. (2016a). The ethics of influence: Government in the age of behavioral science. USA: Cambridge University Press
75. Sunstein, C. R. (2016b). People prefer system 2 nudges (kind of). Duke Law Journal, 66, 121–168
76. Sunstein, C. R., Reisch, L. A., & Rauber, J. (2017). ‘A World-Wide Consensus on Nudging? Not Quite, But Almost. SSRN. https://ssrn.com/abstract =2955693. http://dx.doi.org/10.2139/ssrn.2955693
77. Tannenbaum, D., Fox, C. R., & Rogers, T. (2017). On the misplaced politics of behavioural policy interventions. Nature Human Behaviour, 1(7), 0130
78. Teeny, J., Briñol, P., & Petty, R. E. (2016). The elaboration likelihood model. Routledge International Handbook of Consumer Psychology, 390
79. Thaler, R. H., & Sunstein, C. R., (2008). Nudge: Improving decisions about health, wealth, and happiness, New Haven, CT: Yale University Press
80. Thorndike, E. L. (1920). A constant error in psychological ratings. Journal of Applied Psychology, 4, 25–29. doi:10.1037/h0071663
81. Trafimow, D. (in press). An A Priori Solution to the Replication Crisis. Philosophical Psychology
82. Trafimow, D. (2017). Using the coefficient of confidence to make the philosophical switch from a posteriori to a priori inferential statistics. Educational and Psychological Measurement, 77, 831–854. doi:10.1177/0013164416667977
83. Trafimow, D., & MacDonald, J. A. (2017). Performing inferential statistics prior to data collection. Educational and Psychological Measurement, 77, 204–219. doi:10.1177/0013164416659745
84. Wagenmakers, E. J. (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review, 14, 779–804. doi:10.3758/BF03194105
85. Winter, S., & Krämer, N. C. (2012). Selecting science information in Web 2.0: How source cues, message sidedness, and need for cognition influence users' exposure to blog posts. Journal of Computer-Mediated Communication, 18(1), 80–96. doi:10.1111/j.1083-6101.2012.01596.x