quantitive

简明释义

英[ˈkwɒntətɪv]美[ˈkwɒntɪtɪv]

adj. 定量的；数量的

英英释义

单词用法

同义词

反义词

例句

1.Myocardial I-R injury was quantitive analysed by ultrasound tissue characterization.

超声组织定征定量分析缺血再灌注损伤心肌。

2.Therefore, it is necessary to realize quantitive and objective glossoscopy using techniques such as computer vision.

因此，有必要运用计算机视觉等技术，实现舌诊的定量化和客观化。

3.Objective To explore the type, quantitive data and proportional relational relationship of axillary artery (AA) and its branches.

目的探索国人腋动脉(AA)及其分支的类型、量化数据以及他们之间的比例关系。

4.Objective To research on the feasibility and significance of the phase sensitive method in quantitive T1 measurement.

目的研究相位敏感方法应用于T1定量测量的可行性及意义。

5.Direct counting guarantees the quantitive accuracy you need for important experiments and radiochemical purity measurements.

直接计数保证了重要的实验和放射化学纯度测量需要的定量精度。

6.Practically proof, it has great real—applicability, which may provides a rather practical mathematic model for the quantitive analysis in future.

通过实践证明，它更具有实用性，这为今后的定量分析提供了一种较有实际意义的数学模型。

7.Quantitive evaluation to the characters of residential environment has measuring, evaluating, comparative and pre-warning functions.

对人居环境特征的量化评价具有测量、评估、比较和预警等功能。

8.We do our research in a highly cooperative way, applying the method of quantitive analysis.

大家相互配合运用定量分析的方法来研究问题。

9.The region leadership industry choice may analyze from qualitative and quantitive aspects.

区域主导产业的选择可以从定性和定量两个方面去分析。

10.The study focused on the quantitative 定量的 analysis of survey data to identify trends.

这项研究专注于对调查数据的定量的分析，以识别趋势。

11.The quantitative 定量的 data collected from the experiment supports our hypothesis.

从实验中收集的定量的数据支持了我们的假设。

12.The professor emphasized the importance of quantitative 定量的 research in scientific studies.

教授强调了在科学研究中定量的研究的重要性。

13.In finance, quantitative 定量的 models are essential for risk assessment.

在金融领域，定量的模型对于风险评估至关重要。

14.We need a quantitative 定量的 approach to measure the effectiveness of our marketing strategy.

我们需要一种定量的方法来衡量我们营销策略的有效性。

作文

In the field of research and data analysis, understanding the significance of quantitative methods is essential. These methods allow researchers to collect numerical data that can be transformed into usable statistics. Unlike qualitative research, which focuses on descriptive data and subjective interpretations, quantitative research emphasizes measurable outcomes and objective analysis. This distinction is crucial for anyone involved in scientific studies or market research.One of the primary advantages of quantitative research is its ability to provide clear, concise, and easily interpretable results. For instance, when a company conducts a survey to determine customer satisfaction, the use of quantitative metrics, such as ratings on a scale from one to ten, allows them to quickly analyze the data and identify trends. This approach not only saves time but also enhances the reliability of the findings, as the results are based on statistical evidence rather than personal opinions.Moreover, quantitative research often employs various statistical tools to analyze data. Techniques such as regression analysis, hypothesis testing, and correlation coefficients help researchers draw meaningful conclusions from their findings. For example, if a researcher wants to understand the relationship between advertising spend and sales revenue, they can use quantitative methods to establish a correlation and predict future sales based on different advertising budgets.Another important aspect of quantitative research is its ability to generalize findings to larger populations. By using random sampling techniques, researchers can ensure that their sample accurately represents the broader population. This is particularly useful in fields like healthcare, where understanding the prevalence of a disease among various demographics can inform public health initiatives.However, it is important to note that quantitative research is not without its limitations. One major criticism is that it may overlook the complexity of human behavior and social phenomena. While numbers can provide valuable insights, they may not capture the full context of a situation. For instance, a quantitative study might reveal that a certain percentage of people prefer a specific product, but it may not explain why they feel that way. Therefore, many researchers advocate for a mixed-methods approach that combines both quantitative and qualitative research to gain a more comprehensive understanding of a subject.In conclusion, mastering quantitative research methods is vital for anyone engaged in data analysis or scientific inquiry. The ability to collect and interpret numerical data can lead to significant discoveries and informed decision-making. While it is essential to recognize its limitations, the strengths of quantitative research—such as objectivity, reliability, and the capacity for generalization—make it an invaluable tool in various fields. As we continue to navigate an increasingly data-driven world, the importance of quantitative approaches will only grow, highlighting the need for researchers to develop these skills further.

在研究和数据分析领域，理解quantitative方法的重要性是至关重要的。这些方法允许研究人员收集可以转化为可用统计数据的数值数据。与关注描述性数据和主观解释的定性研究不同，quantitative研究强调可测量的结果和客观分析。这种区别对于任何参与科学研究或市场研究的人来说都是至关重要的。quantitative研究的主要优点之一是它能够提供清晰、简洁且易于解释的结果。例如，当一家公司进行调查以确定客户满意度时，使用quantitative指标（如从一到十的评分）使他们能够快速分析数据并识别趋势。这种方法不仅节省时间，还提高了研究结果的可靠性，因为结果是基于统计证据而不是个人意见。此外，quantitative研究通常采用各种统计工具来分析数据。回归分析、假设检验和相关系数等技术帮助研究人员从其发现中得出有意义的结论。例如，如果研究人员想了解广告支出与销售收入之间的关系，他们可以使用quantitative方法来建立相关性，并根据不同的广告预算预测未来的销售额。quantitative研究的另一个重要方面是其将发现推广到更大人群的能力。通过使用随机抽样技术，研究人员可以确保其样本准确代表更广泛的人群。这在医疗保健等领域尤其有用，因为了解某种疾病在不同人群中的流行程度可以为公共卫生倡议提供信息。然而，重要的是要注意，quantitative研究并非没有局限性。一个主要的批评是，它可能忽视人类行为和社会现象的复杂性。虽然数字可以提供有价值的见解，但它们可能无法捕捉到情况的全部背景。例如，一项quantitative研究可能显示某个百分比的人偏好某种特定产品，但它可能无法解释他们为何会有这样的感觉。因此，许多研究人员提倡采用混合方法，结合quantitative和定性研究，以便对主题获得更全面的理解。总之，掌握quantitative研究方法对于任何从事数据分析或科学探究的人来说都是至关重要的。收集和解释数值数据的能力可以导致重大发现和明智的决策。虽然认识到其局限性至关重要，但quantitative研究的优势——如客观性、可靠性和推广能力——使其在各个领域成为一种不可或缺的工具。随着我们继续在一个日益以数据为驱动的世界中航行，quantitative方法的重要性只会增加，突显出研究人员进一步发展这些技能的必要性。