知识经纪人的洞察力:预测与联邦工作人员关系的因素
Patrick O'Neill1, Jessica Pugel1, Elizabeth C Long1
1Pennsylvania State University, USA.
概括
了解联邦工作人员和知识经纪人之间的关系是有效的研究转化为政策的关键. 中层和民主党员工更有可能参与,而更长的任期减少了参与的可能性.
科学领域:
- 政策研究 政策研究
- 知识 翻译 翻译
- 政治科学 政治科学是指政治学.
背景情况:
- 个人关系对于将研究与政策联系起来的翻译模型至关重要.
- 识别影响政策制定者和知识经纪人之间的相互作用的因素可以提高模型的效率.
研究的目的:
- 调查个人和办公室层面的特征,预测联邦工作人员和知识经纪人之间的初次会议和持续关系.
- 告知知识经纪人,哪些办公室和工作人员应该接近以改善参与.
主要方法:
- 利用Quorum公共事务数据库获取2021年9月至2022年8月间联系的联邦工作人员的数据.
- 采用后勤回归模型来分析员工特征对会议出席率的影响.
- 根据政党进行分层分析,以确定差异性影响.
主要成果:
- 中级工作人员和与民主党有关的员工显示,与研究与政策合作 (RPC) 工作人员会面的可能性更高.
- 办公时间的增加与与RPC员工会面的可能性降低有关.
- 通过党派分层,进一步检查了重要的协会.
结论:
- 个人和办公室级别的属性都会影响联邦工作人员与知识经纪人的接触.
- 结果为知识经纪人提供了可操作的见解,旨在加强科学政策界面.
相关概念视频
Relationship Formation
39.5K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
39.5K
Stereotype Content Model
13.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
13.9K
Fundamental Attribution Error
12.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
12.8K
Factorial Design
12.8K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
12.8K
The Representativeness Heuristic
15.7K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.7K
Cause and Effect
10.8K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
10.8K


