empirical

简明释义

英[ɪmˈpɪrɪk(ə)l]美[ɪmˈpɪrɪkl]

adj. 经验主义的，以经验为依据的

英英释义

单词用法

同义词

反义词

例句

1.To obtain empirical data regarding the energy costs of singing, Thomas examined the relationship between song rate and overnight changes in body mass of male nightingales.

为了获得有关唱歌能量消耗的经验数据，托马斯研究了鸣声率与雄性夜莺在夜间的体重变化之间的关系。

2.Yes, it is true that science is empirical and dispassionate.

是的，科学确实是以经验为根据，是理性的。

3.If the empirical evidence points to anything, it points towards school-sponsored sports providing assets that are well worth the costs.

如果经验证据能说明什么的话，那就是学校赞助的体育项目提供了与投入相称的资产回报。

4.There is no empirical evidence to support his thesis.

没有实证根据来支持他的论点。

5.But there didn't appear to be any empirical evidence for this.

但是，好像并没有什么经验上的证据可以证明。

6.Their search was conducted with empirical regularity.

他们的搜索是根据经验规律性进行的。

7.The scientist conducted an empirical 经验的 study to test her hypothesis.

这位科学家进行了一个经验的研究来验证她的假设。

8.His conclusions were based on empirical 经验的 evidence gathered from numerous experiments.

他的结论是基于从众多实验中收集的经验的证据。

9.The empirical 经验的 data showed a significant correlation between the two variables.

该经验的数据表明两个变量之间存在显著相关性。

10.In medicine, empirical 经验的 research often leads to new treatments.

在医学领域，经验的研究常常会导致新的治疗方法。

11.The empirical 经验的 approach is crucial in the field of psychology.

在心理学领域，经验的方法至关重要。

作文

In the realm of scientific inquiry, the term empirical refers to knowledge that is derived from observation and experimentation rather than from theory or pure logic. This approach is fundamental to the scientific method, which emphasizes the importance of evidence gathered through direct experience. The empirical nature of science allows researchers to formulate hypotheses and then test them against real-world data, leading to conclusions that are grounded in observable phenomena. For instance, when studying climate change, scientists collect empirical data from various sources such as temperature records, ice core samples, and satellite imagery. This data provides tangible evidence of changes in climate patterns over time. By analyzing this empirical information, researchers can make informed predictions about future climate scenarios and their potential impacts on the planet. Moreover, the empirical approach is not limited to the natural sciences. In social sciences, researchers also rely on empirical methods to understand human behavior and societal trends. Surveys, interviews, and observational studies are common techniques used to gather empirical data in fields such as sociology, psychology, and economics. For example, a sociologist might conduct a survey to gather empirical evidence about public opinion on a specific issue, allowing them to draw conclusions based on the responses of a diverse population. The strength of empirical research lies in its ability to provide objective evidence that can be replicated and verified by others. This reproducibility is a cornerstone of scientific integrity, as it allows other researchers to confirm findings and build upon existing knowledge. Additionally, empirical studies often lead to practical applications that can address real-world problems. For example, medical research relies heavily on empirical data from clinical trials to determine the efficacy and safety of new treatments before they are approved for public use. However, while the empirical approach is invaluable, it is important to recognize its limitations. Not all questions can be answered through empirical investigation alone. Some phenomena may be difficult to measure or observe directly, requiring researchers to consider theoretical frameworks alongside empirical evidence. Furthermore, the interpretation of empirical data can be influenced by biases or preconceived notions, highlighting the need for critical thinking and rigorous analysis in the research process. In conclusion, the concept of empirical knowledge is central to the advancement of science and our understanding of the world. By relying on observations and experiments, researchers can develop theories that are rooted in reality. The empirical approach fosters a culture of inquiry and skepticism, encouraging scientists to question assumptions and seek evidence before drawing conclusions. As we continue to face complex challenges in various fields, the importance of empirical research will only grow, guiding us towards solutions that are informed by data and grounded in the realities of our environment.

在科学研究的领域中，术语empirical指的是基于观察和实验得出的知识，而不是来自理论或纯逻辑。这种方法是科学方法的基础，强调通过直接经验收集证据的重要性。科学的empirical特性使研究人员能够制定假设，然后将其与现实世界的数据进行测试，从而得出基于可观察现象的结论。 例如，在研究气候变化时，科学家从各种来源收集empirical数据，如温度记录、冰芯样本和卫星图像。这些数据提供了关于气候模式随时间变化的有形证据。通过分析这些empirical信息，研究人员可以对未来气候情景及其对地球潜在影响做出知情预测。 此外，empirical方法并不限于自然科学。在社会科学中，研究人员同样依赖于empirical方法来理解人类行为和社会趋势。调查、访谈和观察研究是收集社会学、心理学和经济学等领域empirical数据的常见技术。例如，一位社会学家可能会进行调查，以收集关于特定问题公众意见的empirical证据，从而允许他们根据多样化人群的反应得出结论。 Empirical研究的优势在于它能够提供客观证据，这些证据可以被他人复制和验证。这种可重复性是科学诚信的基石，因为它允许其他研究人员确认发现并在现有知识的基础上进行扩展。此外，empirical研究通常会导致可以解决现实问题的实际应用。例如，医学研究在临床试验中大量依赖empirical数据，以确定新治疗方法的有效性和安全性，然后才能获得公众使用的批准。 然而，尽管empirical方法是无价的，但重要的是要认识到它的局限性。并非所有问题都可以仅通过empirical调查来回答。有些现象可能难以直接测量或观察，这需要研究人员在考虑理论框架的同时，也要考虑empirical证据。此外，empirical数据的解释可能会受到偏见或先入之见的影响，这突显了在研究过程中进行批判性思考和严谨分析的必要性。 总之，empirical知识的概念是科学进步和我们理解世界的核心。通过依赖观察和实验，研究人员可以发展出扎根于现实的理论。Empirical方法促进了探究和怀疑的文化，鼓励科学家在得出结论之前质疑假设并寻求证据。随着我们继续面临各个领域的复杂挑战，empirical研究的重要性只会增加，引导我们走向基于数据和扎根于环境现实的解决方案。