Johnson Branden B, Dieckmann Nathan F
Decision Research, USA.
Oregon Health & Science University, USA.
Public Underst Sci. 2018 Oct;27(7):824-835. doi: 10.1177/0963662517738408. Epub 2017 Oct 27.
A survey experiment assessed response to five explanations of scientific disputes: problem complexity, self-interest, values, competence, and process choices (e.g. theories and methods). A US lay sample ( n = 453) did not distinguish interests from values, nor competence from process, as explanations of disputes. Process/competence was rated most likely and interests/values least; all, on average, were deemed likely to explain scientific disputes. Latent class analysis revealed distinct subgroups varying in their explanation preferences, with a more complex latent class structure for participants who had heard of scientific disputes in the past. Scientific positivism and judgments of science's credibility were the strongest predictors of latent class membership, controlling for scientific reasoning, political ideology, confidence in choice, scenario, education, gender, age, and ethnicity. The lack of distinction observed overall between different explanations, as well as within classes, raises challenges for further research on explanations of scientific disputes people find credible and why.
问题复杂性、自身利益、价值观、能力以及过程选择(例如理论和方法)。一个美国普通样本(n = 453)并未将利益与价值观区分开来,也未将能力与过程作为争议的解释区分开来。过程/能力被评为最有可能的解释,而利益/价值观被评为最不可能的;总体而言,所有这些都被认为有可能解释科学争议。潜在类别分析揭示了在解释偏好上存在差异的不同亚组,对于过去听说过科学争议的参与者来说,潜在类别结构更为复杂。在控制了科学推理、政治意识形态、选择信心、情景、教育程度、性别、年龄和种族之后,科学实证主义和对科学可信度的判断是潜在类别成员身份的最强预测因素。总体上在不同解释之间以及类别内部观察到的缺乏区分,给关于人们认为可信的科学争议解释以及原因的进一步研究带来了挑战。