foregoing sampling

简明释义

预先抽样

英英释义

例句

1.The foregoing sampling method allowed us to gather data efficiently from various locations.

这种前述抽样方法使我们能够高效地从不同地点收集数据。

2.Due to the foregoing sampling, our findings can be generalized to the larger population.

由于前述抽样，我们的发现可以推广到更大的人群。

3.In the foregoing sampling, we ensured that all demographics were represented to avoid bias.

在前述抽样中，我们确保所有人口统计特征都有代表，以避免偏见。

4.The results of the study were based on the foregoing sampling, which included a diverse group of participants.

研究结果基于前述抽样，其中包括多样化的参与者。

5.We discussed the implications of the foregoing sampling in our research paper.

我们在研究论文中讨论了前述抽样的影响。

作文

In the realm of research and data collection, the term foregoing sampling refers to the method of selecting a subset of individuals or items from a larger population without conducting a comprehensive survey of the entire group. This approach is particularly useful when time, resources, or accessibility are limited. By implementing foregoing sampling, researchers can still gather valuable insights while minimizing the effort and cost associated with full population studies. One significant advantage of foregoing sampling is its efficiency. In many cases, it is impractical or impossible to collect data from every member of a population. For example, consider a researcher studying the eating habits of college students across the country. Instead of attempting to survey every student, which would be an overwhelming task, the researcher might choose to conduct foregoing sampling by selecting a representative group from various colleges. This allows for a quicker analysis and can yield results that are still reflective of the broader population.However, it is essential to recognize that foregoing sampling comes with its own set of challenges. One potential drawback is the risk of bias. If the sample selected is not representative of the overall population, the findings may be skewed. For instance, if the researcher only surveys students from urban universities, the results may not accurately represent the eating habits of students in rural areas. Therefore, careful consideration must be given to how the sample is chosen to ensure that it captures the diversity of the population being studied.Moreover, researchers using foregoing sampling must be transparent about their methodology. When presenting their findings, they should clearly state how the sample was selected and discuss any limitations that may arise from using this approach. This transparency helps to build trust with the audience and allows for a more accurate interpretation of the results.In conclusion, foregoing sampling is a valuable tool in the field of research that enables scholars to gather data efficiently while navigating the constraints of time and resources. Although it presents certain challenges, such as the potential for bias and the need for methodological transparency, its benefits often outweigh the drawbacks. As researchers continue to seek ways to optimize their data collection processes, understanding and effectively implementing foregoing sampling will remain an essential skill. By doing so, they can contribute meaningful insights to their respective fields, ultimately advancing knowledge and understanding in various domains.

在研究和数据收集的领域中，术语foregoing sampling指的是从更大的人群中选择个体或项目的子集的方法，而不对整个群体进行全面调查。这种方法在时间、资源或可及性有限时特别有用。通过实施foregoing sampling，研究人员仍然可以收集到有价值的见解，同时最小化与全人群研究相关的努力和成本。foregoing sampling的一大显著优势是其效率。在许多情况下，从每个成员那里收集数据是不切实际或不可能的。例如，考虑一位研究全国大学生饮食习惯的研究者。研究者可能会选择通过从各个大学中选择一个代表性的小组来进行foregoing sampling，而不是试图对每个学生进行调查。这允许更快的分析，并且可以产生仍然反映更广泛人群的结果。然而，必须认识到的是，foregoing sampling也带来了自身的一系列挑战。一个潜在的缺点是偏见的风险。如果选择的样本没有代表整体人群，那么结果可能会失真。例如，如果研究者只调查城市大学的学生，则结果可能无法准确代表农村地区学生的饮食习惯。因此，必须仔细考虑如何选择样本，以确保其捕捉到所研究人群的多样性。此外，使用foregoing sampling的研究人员必须对其方法论保持透明。在呈现他们的发现时，他们应该清楚地说明样本是如何选择的，并讨论使用这种方法可能出现的任何限制。这种透明度有助于建立与受众的信任，并允许对结果进行更准确的解释。总之，foregoing sampling是研究领域中一种有价值的工具，使学者能够在应对时间和资源限制的同时高效地收集数据。尽管它存在某些挑战，例如潜在的偏见和对方法论透明性的需求，但其好处往往超过缺点。随着研究人员继续寻求优化数据收集过程的方法，理解和有效实施foregoing sampling将仍然是一项重要技能。通过这样做，他们可以为各自领域贡献有意义的见解，最终推动各个领域的知识和理解的发展。