causal

简明释义

[ˈkɔːz(ə)l][ˈkɔːz(ə)l]

adj. 因果关系的,构成原因的;(连接词)表示原因的;由某种原因引起的

n. 表示原因的连词

英英释义

Relating to or acting as a cause.

与原因相关或作为原因的。

Indicating a relationship between two events where one event causes the other.

指两个事件之间的关系,其中一个事件导致另一个事件。

单词用法

causal relationship

因果关系

causal relation

因果关系

同义词

causative

引起的

The causative factors of the disease are still under investigation.

该疾病的引起因素仍在调查中。

effectual

有效的

The effectual measures taken by the government reduced pollution levels.

政府采取的有效措施降低了污染水平。

determinative

决定性的

His determinative role in the project was crucial for its success.

他在项目中的决定性角色对其成功至关重要。

contributory

有助于的

The contributory elements to the team's victory included teamwork and strategy.

团队胜利的有助于因素包括团队合作和战略。

反义词

non-causal

非因果的

The results of the experiment were non-causal, showing no direct relationship between the variables.

实验结果是非因果的,显示变量之间没有直接关系。

random

随机的

In a random sampling, the selection of participants is not based on any causal factors.

在随机抽样中,参与者的选择并不基于任何因果因素。

例句

1.We never get to the causal relationship itself.

我们不会看到因果关系本身。

2.Religious and occult predictions, however, boast no causal logic whatsoever.

但是,宗教和神秘的预言没有任何因果逻辑。

3.If it incidentally makes sense does that mean it's not causal?

如果这同样有道理,那意味着没有因果吗?

4.Glass cautions that most studies don't necessarily prove a causal link between greenness and health, but they're nonetheless helping spur action.

格拉斯提醒说,大多数研究并不一定能证明绿色与健康之间的因果关系,但它们仍然有助于激励人们采取行动。

5.That's what a causal generalization is.

这就是因果推广。

6.Explanations can be causal and or rational compound.

解释可能是因果或者理性的混合物。

7.This is a special case of the causal consistency model.

这是因果一致性模型的一个特例。

8.But Schweitzer contends the "mounting causal evidence" linking goal-setting and harmful behavior should be studied to help spotlight issues that merit caution and further investigation.

但施韦策认为,目标设定和有害行为之间的“因果证据越来越多”,应该加以研究,以帮助人们关注到需要谨慎和继续调查的问题。

9."Cats use a causal-logical understanding of noise or sounds to predict the appearance of invisible objects," lead researcher Saho Takagi says in a press release.

首席研究员高木佐贺在一份新闻稿中说:“猫会运用对噪音或声音的因果逻辑的理解来预测不可见物体的出现。”

10.The study aimed to identify the causal factors contributing to obesity.

该研究旨在识别导致肥胖的因果因素。

11.A causal analysis showed that increased exercise leads to better mental health.

一项因果分析显示,增加锻炼有助于改善心理健康。

12.The researchers found a strong causal relationship between smoking and lung cancer.

研究人员发现吸烟与肺癌之间存在强烈的因果关系。

13.Establishing a causal link is essential for effective public health interventions.

建立因果联系对于有效的公共卫生干预至关重要。

14.In statistics, it is important to differentiate between correlation and causal effects.

在统计学中,区分相关性和因果效应是很重要的。

作文

In the realm of scientific research, understanding the concept of causality is crucial. Causality refers to the relationship between cause and effect, where one event (the cause) leads to the occurrence of another event (the effect). This relationship is often described as a causal (因果的) link that helps us comprehend how different factors influence each other. For instance, in health studies, researchers often investigate whether smoking is a causal (因果的) factor in the development of lung cancer. By establishing this connection, they can advocate for public health measures aimed at reducing smoking rates and, consequently, lung cancer incidences.The importance of distinguishing between correlation and causal (因果的) relationships cannot be overstated. Correlation indicates a statistical association between two variables, but it does not imply that one causes the other. For example, there may be a correlation between ice cream sales and drowning incidents; however, this does not mean that buying ice cream causes drowning. Instead, both may be influenced by a third factor: hot weather. Understanding these distinctions is vital for effective decision-making and policy formulation.In psychology, the concept of causal (因果的) relationships plays a significant role in understanding human behavior. Psychologists often explore how certain experiences can lead to specific emotional or behavioral outcomes. For instance, childhood trauma can have a causal (因果的) impact on an individual’s mental health in adulthood. By identifying these causal (因果的) links, therapists can develop targeted interventions that address the root causes of their clients’ issues rather than merely treating symptoms.In education, understanding causal (因果的) relationships can enhance teaching strategies. Educators can analyze how different teaching methods affect student learning outcomes. For example, if a new interactive teaching approach yields higher test scores, educators may conclude that this method has a causal (因果的) effect on student performance. Such insights can drive improvements in educational practices and ultimately benefit students.Moreover, in economics, establishing causal (因果的) relationships is essential for effective policymaking. Economists often study how changes in fiscal policy can lead to variations in economic growth. For example, if tax cuts are shown to have a causal (因果的) effect on job creation, policymakers may consider implementing similar measures to stimulate the economy. However, they must also consider other factors that may influence these outcomes, ensuring that their conclusions are robust and well-supported.In summary, the concept of causal (因果的) relationships is fundamental across various fields, including science, psychology, education, and economics. By understanding the nature of these relationships, we can make informed decisions, develop effective interventions, and create policies that positively impact society. As we continue to explore the complexities of causality, it becomes increasingly clear that recognizing and analyzing causal (因果的) links will lead to greater advancements and improvements in our lives.

在科学研究领域,理解因果关系的概念至关重要。因果关系指的是因与果之间的关系,其中一个事件(原因)导致另一个事件(结果)的发生。这种关系通常被描述为一种causal(因果的)联系,帮助我们理解不同因素如何相互影响。例如,在健康研究中,研究人员常常调查吸烟是否是导致肺癌发展的causal(因果的)因素。通过建立这种联系,他们可以倡导公共卫生措施,以减少吸烟率,从而降低肺癌发病率。区分相关性和causal(因果的)关系的重要性不容小觑。相关性表示两个变量之间的统计关联,但并不意味着一个导致另一个。例如,冰淇淋销售与溺水事件之间可能存在相关性;然而,这并不意味着购买冰淇淋会导致溺水。相反,两者可能受到一个第三因素的影响:炎热的天气。理解这些区别对于有效的决策和政策制定至关重要。在心理学中,causal(因果的)关系的概念在理解人类行为方面发挥着重要作用。心理学家常常探讨某些经历如何导致特定的情感或行为结果。例如,童年创伤可能对个体成年后的心理健康产生causal(因果的)影响。通过识别这些causal(因果的)联系,治疗师可以制定针对性的干预措施,解决客户问题的根本原因,而不仅仅是治疗症状。在教育中,理解causal(因果的)关系可以增强教学策略。教育工作者可以分析不同教学方法如何影响学生学习成果。例如,如果一种新的互动教学方法带来更高的考试成绩,教育工作者可能会得出这一方法对学生表现具有causal(因果的)影响的结论。这种洞察力可以推动教育实践的改进,最终使学生受益。此外,在经济学中,建立causal(因果的)关系对有效的政策制定至关重要。经济学家经常研究财政政策的变化如何导致经济增长的变化。例如,如果减税被证明对创造就业有causal(因果的)影响,政策制定者可能会考虑实施类似的措施以刺激经济。然而,他们还必须考虑可能影响这些结果的其他因素,以确保他们的结论是稳健且有充分依据的。总之,causal(因果的)关系的概念在科学、心理学、教育和经济等各个领域都是基础。通过理解这些关系的性质,我们可以做出明智的决策,制定有效的干预措施,并创建对社会产生积极影响的政策。随着我们继续探索因果关系的复杂性,越来越清楚的是,认识和分析causal(因果的)联系将导致我们生活中的更大进步和改善。