Science-utility and science-trust associations and how they relate to knowledge about how science works.
Science-utility and science-trust associations and how they relate to knowledge about how science works.
复制标题
DOI：
10.1371/journal.pone.0260586
复制
发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Schütz A
中科院分区：
文献类型：
--
作者：
Schoor C;Schütz A
关于科学如何运作的知识，对科学家的信任，以及科学的感知效用目前似乎正在侵蚀这些时代，其中“替代事实”或个人经验和意见被用作论点。然而，在许多情况下，如果在决策中考虑到科学研究结果，对个人和整个社会都是有益的。要做到这一点，人们必须信任科学家，并认为科学是有用的。尽管如此，在大学环境中，报告对科学的负面信念可能是不可取的。此外，科学-效用和科学-信任关联可能不同于外显信念，因为关联是通过刺激的共同出现而不是基于命题推理来学习的。我们开发了两个IAT测量科学效用和科学信任协会在大学生和测试这些措施的心理测量特性和预测潜力。在一项针对261名大学生的研究中，发现IAT具有良好的心理测量特性，并且与相应的自我报告量表相关性较小。科学-效用和科学-信任协会预测了关于科学如何运作的知识，超过了自我报告的信念。结果表明，间接措施是有用的评估科学的信念，并可用于预测结果的措施。
Knowledge about how science works, trust in scientists, and the perceived utility of science currently appear to be eroding in these times in which “alternative facts” or personal experiences and opinions are used as arguments. Yet, in many situations, it would be beneficial for the individual and all of society if scientific findings were considered in decision-making. For this to happen, people have to trust in scientists and perceive science as useful. Still, in university contexts, it might not be desirable to report negative beliefs about science. In addition, science-utility and science-trust associations may differ from explicit beliefs because associations were learned through the co-occurrence of stimuli rather than being based on propositional reasoning. We developed two IATs to measure science-utility and science-trust associations in university students and tested the psychometric properties and predictive potential of these measures. In a study of 261 university students, the IATs were found to have good psychometric properties and small correlations with their corresponding self-report scales. Science-utility and science-trust associations predicted knowledge about how science works over and above self-reported beliefs. The results suggest that indirect measures are useful for assessing beliefs about science and can be used to predict outcome measures.
登录
查看更多内容
影响因子：
10.3
作者：
Eccles, Jacquelynne S.;Wigfield, Allan
通讯作者：
Wigfield, Allan
影响因子：
7.6
作者：
Bosson, JK;Swann, WB;Pennebaker, JW
通讯作者：
Pennebaker, JW
影响因子：
3.9
作者：
Braten, Ivar;Ferguson, Leila E.
通讯作者：
Ferguson, Leila E.
DOI：
10.1177/2515245920958687
发表时间：
2020-09-01
影响因子：
13.6
作者：
Ebersole, Charles R.;Mathur, Maya B.;Nosek, Brian A.
通讯作者：
Nosek, Brian A.
影响因子：
4.6
作者：
Cobern, WW;Loving, CC
通讯作者：
Loving, CC