quantitative measurement; quantitative measure

简明释义

数量测定，数量测度

英英释义

例句

1.The study relied on quantitative measurements 定量测量 to analyze the health outcomes of the participants.

该研究依赖于定量测量 quantitative measurements 来分析参与者的健康结果。

2.The scientist used a quantitative measurement 定量测量 to determine the concentration of the solution.

科学家使用了一个定量测量 quantitative measurement 来确定溶液的浓度。

3.Using a quantitative measure 定量指标 allows for more objective comparisons between different datasets.

使用定量指标 quantitative measure 可以更客观地比较不同的数据集。

4.The quantitative measurement 定量测量 of air quality showed significant improvements over the past year.

空气质量的定量测量 quantitative measurement 显示出过去一年显著改善。

5.In market research, a quantitative measure 定量指标 helps gauge consumer preferences effectively.

在市场研究中，定量指标 quantitative measure 有助于有效评估消费者偏好。

作文

In today's data-driven world, the importance of quantitative measurement cannot be overstated. Quantitative measurement refers to the process of obtaining numerical data that can be analyzed statistically. This type of measurement is crucial in various fields such as science, economics, and social research, where precise data is necessary for making informed decisions. For instance, in scientific experiments, researchers rely on quantitative measures to gather data about phenomena, allowing them to test hypotheses and validate theories. One of the key advantages of quantitative measurement is its ability to produce results that are objective and replicable. Unlike qualitative data, which can be influenced by personal bias, quantitative measures provide a clear framework for analysis. This objectivity is particularly important in fields like medicine, where clinical trials often depend on quantitative measurements to determine the efficacy of new drugs. By analyzing numerical data, researchers can draw valid conclusions that can significantly impact public health.Moreover, quantitative measurement allows for the comparison of different datasets. For example, in economics, analysts use quantitative measures such as GDP, unemployment rates, and inflation indices to assess the health of an economy. These metrics enable policymakers to make data-driven decisions that can lead to economic growth or stabilization. Without quantitative measurement, it would be challenging to gauge the effectiveness of policies or to identify trends over time.In social sciences, quantitative measurement plays a vital role in understanding human behavior. Surveys and questionnaires often employ quantitative measures to collect data on people's opinions, preferences, and demographics. This data can then be analyzed to identify patterns and correlations, providing valuable insights into societal issues. For example, researchers might use quantitative measurements to study the relationship between education levels and income, helping to inform educational policy and investment.However, it is important to recognize that while quantitative measurement has many strengths, it also has limitations. Numbers alone may not capture the full complexity of a situation. For instance, while a survey may show that a majority of people prefer a certain product, it does not explain the reasons behind their preferences. Therefore, combining quantitative measures with qualitative research methods can provide a more comprehensive understanding of a topic.In conclusion, quantitative measurement is an essential tool in various fields, providing objective, replicable, and comparable data that can drive decision-making. Whether in science, economics, or social research, quantitative measures help us make sense of complex information and guide us toward informed conclusions. As we continue to navigate an increasingly data-centric world, the value of quantitative measurement will only grow, shaping our understanding of the world around us and influencing the choices we make every day.

在当今数据驱动的世界中，定量测量的重要性不容低估。定量测量是指获取可以进行统计分析的数值数据的过程。这种测量类型在科学、经济学和社会研究等多个领域至关重要，因为精确的数据对于做出明智的决策是必要的。例如，在科学实验中，研究人员依赖于定量测量来收集现象的数据，从而验证假设和理论。定量测量的一个主要优点是其能够产生客观且可重复的结果。与可能受到个人偏见影响的定性数据不同，定量测量提供了一个清晰的分析框架。这种客观性在医学等领域尤为重要，因为临床试验通常依赖于定量测量来确定新药的有效性。通过分析数值数据，研究人员可以得出有效的结论，这些结论可能对公共健康产生重大影响。此外，定量测量还允许不同数据集之间的比较。例如，在经济学中，分析师使用定量测量如GDP、失业率和通货膨胀指数来评估经济健康状况。这些指标使政策制定者能够做出基于数据的决策，从而促进经济增长或稳定。如果没有定量测量，评估政策的有效性或识别长期趋势将变得极为困难。在社会科学中，定量测量在理解人类行为方面发挥着重要作用。调查和问卷通常采用定量测量来收集人们的意见、偏好和人口统计数据。然后，可以对这些数据进行分析，以识别模式和相关性，从而为社会问题提供有价值的见解。例如，研究人员可能使用定量测量来研究教育水平与收入之间的关系，帮助指导教育政策和投资。然而，重要的是要认识到，尽管定量测量有许多优点，但它也有局限性。单靠数字可能无法捕捉到情况的全部复杂性。例如，虽然调查可能显示大多数人更喜欢某种产品，但它并不能解释他们偏好的原因。因此，将定量测量与定性研究方法结合起来，可以提供对主题更全面的理解。总之，定量测量是各个领域的重要工具，提供了客观、可重复和可比较的数据，可以推动决策。无论是在科学、经济学还是社会研究中，定量测量帮助我们理解复杂的信息，并引导我们做出明智的结论。随着我们继续在一个日益数据中心化的世界中航行，定量测量的价值只会增加，塑造我们对周围世界的理解，并影响我们每天所做的选择。