sample design

简明释义

样品设计

英英释义

例句

1.The researchers created a detailed sample design to ensure accurate data collection.

研究人员制定了详细的样本设计以确保数据收集的准确性。

2.The success of our project relies heavily on the effectiveness of the sample design.

我们项目的成功在很大程度上依赖于样本设计的有效性。

3.In market research, a well-structured sample design can significantly influence the results.

在市场研究中，良好结构的样本设计可以显著影响结果。

4.The sample design for this survey includes diverse demographic groups.

本次调查的样本设计包括不同的人口群体。

5.Before launching the study, we need to finalize the sample design.

在启动研究之前，我们需要最终确定样本设计。

作文

In the field of research, the term sample design refers to the process of selecting a portion of the population to represent the entire group. This process is crucial because it directly affects the validity and reliability of the research findings. A well-thought-out sample design ensures that the sample accurately reflects the characteristics of the larger population, thus enabling researchers to draw meaningful conclusions from their data. Choosing the right sample design involves several key steps. First, researchers must define the target population. This is the complete set of individuals or items that the study aims to understand. For instance, if a researcher is studying the eating habits of teenagers in a specific city, the target population would be all teenagers living in that city. Once the target population is defined, the next step is to decide on the sampling method. There are various methods available, including random sampling, stratified sampling, and cluster sampling. Random sampling gives each member of the population an equal chance of being selected, which helps eliminate bias. Stratified sampling, on the other hand, involves dividing the population into subgroups and then taking a sample from each subgroup. This method is particularly useful when certain characteristics are important for the research. Lastly, cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters to study.The choice of sampling method will influence the overall quality of the sample design. For example, if a researcher chooses a biased sampling method, such as convenience sampling, the results may not be representative of the entire population. This can lead to inaccurate conclusions and undermine the research's credibility. Therefore, it is essential for researchers to carefully consider their sampling strategy to ensure that their sample design is robust and effective.After determining the sampling method, researchers must also consider the sample size. The size of the sample can significantly impact the precision of the results. A larger sample size generally leads to more reliable results, but it also requires more resources and time. Researchers must balance the need for a large sample with practical constraints, such as budget and time limitations.In conclusion, the concept of sample design is fundamental in research methodology. It encompasses the selection of a representative group from a larger population, ensuring that the findings of the study are valid and applicable. By carefully defining the target population, choosing an appropriate sampling method, and determining the right sample size, researchers can enhance the quality of their studies. Understanding the intricacies of sample design is essential for anyone involved in research, as it lays the groundwork for obtaining accurate and meaningful results.

在研究领域中，术语样本设计指的是选择一个部分人群以代表整个群体的过程。这个过程至关重要，因为它直接影响研究结果的有效性和可靠性。经过深思熟虑的样本设计确保样本准确反映更大人群的特征，从而使研究人员能够从数据中得出有意义的结论。选择合适的样本设计涉及几个关键步骤。首先，研究人员必须定义目标人群。这是研究旨在理解的所有个体或项目的完整集合。例如，如果研究人员正在研究某个特定城市青少年的饮食习惯，那么目标人群将是生活在该城市的所有青少年。一旦定义了目标人群，下一步就是决定抽样方法。有多种可用的方法，包括随机抽样、分层抽样和集群抽样。随机抽样使每个成员都有相等的机会被选中，这有助于消除偏见。另一方面，分层抽样涉及将人群划分为子组，然后从每个子组中抽取样本。当某些特征对研究非常重要时，这种方法特别有用。最后，集群抽样涉及将人群划分为集群，然后随机选择整个集群进行研究。抽样方法的选择将影响样本设计的整体质量。例如，如果研究人员选择了有偏见的抽样方法，例如便利抽样，结果可能无法代表整个群体。这可能导致不准确的结论并削弱研究的可信度。因此，研究人员必须仔细考虑他们的抽样策略，以确保他们的样本设计是稳健和有效的。在确定抽样方法后，研究人员还必须考虑样本大小。样本的大小会显著影响结果的精确度。较大的样本大小通常导致更可靠的结果，但它也需要更多的资源和时间。研究人员必须在对大样本的需求与实际限制（如预算和时间限制）之间取得平衡。总之，样本设计的概念在研究方法论中是基础性的。它包括从更大的人群中选择一个代表性群体，确保研究的发现是有效且适用的。通过仔细定义目标人群、选择适当的抽样方法和确定合适的样本大小，研究人员可以提高研究的质量。理解样本设计的复杂性对于任何参与研究的人来说都是必不可少的，因为它为获得准确和有意义的结果奠定了基础。