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评估科学的自我呈现模型的因素及其对保守派和自由派支持科学资金的影响。

Factors Assessing Science's Self-Presentation model and their effect on conservatives' and liberals' support for funding science.

机构信息

Department of Communication, University at Buffalo, State University of New York, Buffalo, NY 14228.

Department of Communication, Georgia State University, Atlanta, GA 30303.

出版信息

Proc Natl Acad Sci U S A. 2023 Sep 19;120(38):e2213838120. doi: 10.1073/pnas.2213838120. Epub 2023 Sep 11.

Abstract

A confirmatory factor analysis (CFA) of responses to 13 questions from a 2022 national probability sample of 1,154 US adults supported the existence of five factors that we argue assess perceptions of Factors Assessing Science's Self-Presentation (FASS). These factors also predict support for increasing federal funding of science and, separately, supporting federal funding of basic research. Each of the factors reflects perceptions of a key facet of scientists' self-presentation, science/scientists' adherence to professed norms, or science's benefits: specifically, that scientists are Credible, Prudent, and Unbiased and that science is Self-Correcting and Beneficial. The FASS model explained 40.6% of the variance in support for increasing federal funding for science and 33.7% in support for basic research. For both dependent variables, conservatives were less likely to be supportive when they perceived that science/scientists fail to overcome biases. The interactions between political ideology and both Prudence and Beneficial, however, were significant only when predicting Basic Research support. In that case, there were no differences between conservatives and liberals when perceptions of benefit were low, but when high, liberals' perception of benefit had a stronger association with support for funding than conservatives'. Among those perceiving that scientists lack prudence, liberals were more likely to support funding basic research than conservatives, but the difference disappeared when perceptions of prudence were very high. The factors could serve as across-time indicators of the public's assessment of the state of science.

摘要

对来自 2022 年美国 1154 名成年人全国概率样本的 13 个问题的回应进行验证性因素分析(CFA),支持存在五个因素,我们认为这些因素评估了对评估科学自我呈现因素(FASS)的看法。这些因素还预测了对增加联邦科学资金的支持,以及对支持联邦基础研究资金的支持。每个因素都反映了对科学家自我呈现的一个关键方面、科学/科学家对既定规范的遵守或科学的利益的看法:具体来说,科学家是可信的、谨慎的和公正无私的,科学是自我修正和有益的。FASS 模型解释了支持增加联邦科学资金的 40.6%和支持基础研究的 33.7%的方差。对于这两个因变量,当保守派认为科学/科学家未能克服偏见时,他们不太可能表示支持。然而,政治意识形态与谨慎和有益之间的相互作用仅在预测基础研究支持时才具有统计学意义。在这种情况下,当对利益的看法较低时,保守派和自由派之间没有差异,但当看法较高时,自由派对利益的看法与对资金支持的关联比保守派更强。在那些认为科学家缺乏谨慎的人中,自由派比保守派更有可能支持基础研究资金,但当谨慎程度非常高时,这种差异就消失了。这些因素可以作为公众对科学状况评估的跨时间指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f7/10515153/ed272e40f24d/pnas.2213838120fig01.jpg

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