time sampling

简明释义

定时采样

英英释义

Time sampling is a research method used to observe and record behaviors or events at predetermined intervals, allowing researchers to gather data on the frequency and duration of specific activities over time.

时间抽样是一种研究方法,用于在预定的时间间隔内观察和记录行为或事件,使研究人员能够收集特定活动在一段时间内的频率和持续时间的数据。

例句

1.In research studies, we often use time sampling to observe behaviors at specific intervals.

在研究中,我们经常使用时间抽样在特定时间间隔观察行为。

2.Using time sampling, researchers can gather data on how often certain events occur.

通过使用时间抽样,研究人员可以收集某些事件发生的频率数据。

3.The wildlife biologist used time sampling to monitor animal activity patterns throughout the day.

野生动物生物学家使用时间抽样监测动物在一天中的活动模式。

4.Teachers can implement time sampling to assess student engagement during class activities.

教师可以实施时间抽样来评估学生在课堂活动中的参与度。

5.In a manufacturing setting, time sampling helps identify production bottlenecks by observing workflow.

在制造环境中,时间抽样通过观察工作流程帮助识别生产瓶颈。

作文

In the field of research and data collection, various methodologies are employed to gather information effectively. One such method is time sampling, which is particularly useful in observing behaviors or events over a specific period. This technique involves recording instances of behavior at predetermined intervals, allowing researchers to obtain a representative sample of activities without the need for continuous observation. The essence of time sampling lies in its efficiency and practicality, especially in settings where it is challenging to monitor every occurrence continuously.For instance, consider a classroom setting where a teacher aims to understand student engagement during lessons. Instead of watching each student every minute, the teacher could use time sampling by observing a subset of students at set intervals throughout the class. By noting how often students raise their hands or participate in discussions, the teacher can compile data that reflects overall engagement levels without being overwhelmed by the volume of information.The advantages of time sampling extend beyond just practicality. It also helps in minimizing observer bias. Since the observations are spread out over time and not focused on a single moment, the data collected tends to be more objective. Researchers can analyze patterns and trends in behavior, leading to more reliable conclusions. Additionally, time sampling can be adapted to various contexts, from psychology to market research, making it a versatile tool.However, like any research method, time sampling has its limitations. One significant drawback is the potential for missing critical events that occur outside the selected observation intervals. If a researcher decides to observe only every five minutes, they might overlook important occurrences that happen just moments before or after the observation window. Therefore, careful planning and consideration of the intervals chosen for time sampling are crucial to ensure that the data collected is as comprehensive as possible.Moreover, the effectiveness of time sampling relies heavily on the context in which it is applied. In fast-paced environments, such as sports or emergency response situations, the predetermined intervals may not capture the rapid changes occurring. In such cases, researchers might need to adjust their approach, potentially combining time sampling with other observational techniques to gain a fuller picture.In conclusion, time sampling is a valuable research strategy that allows for efficient data collection across various fields. Its ability to provide a snapshot of behavior while minimizing bias makes it an attractive option for researchers. However, it is essential to remain aware of its limitations and adapt the methodology as necessary to ensure the data's relevance and accuracy. As research continues to evolve, the application of time sampling will undoubtedly remain a critical component in understanding complex behaviors and interactions in diverse settings.

在研究和数据收集领域,采用多种方法有效地收集信息。其中一种方法是时间抽样,这在观察特定时间段内的行为或事件时特别有用。这种技术涉及在预定间隔内记录行为实例,使研究人员能够获得活动的代表性样本,而无需进行持续观察。时间抽样的本质在于其效率和实用性,尤其是在难以连续监测每个事件的环境中。 例如,考虑一个教室环境,在这里教师旨在了解学生在课堂上的参与情况。教师可以利用时间抽样的方法,在整个课堂期间以设定的时间间隔观察一部分学生,而不是每分钟都观察每个学生。通过记录学生举手或参与讨论的频率,教师可以汇总反映整体参与水平的数据,而不会被信息量压倒。时间抽样的优势不仅在于实用性。它还有助于最小化观察者偏见。由于观察分布在时间上,而不是集中在某一时刻,因此收集的数据往往更客观。研究人员可以分析行为中的模式和趋势,从而得出更可靠的结论。此外,时间抽样可以适应各种背景,从心理学到市场研究,使其成为一种多用途工具。 然而,像任何研究方法一样,时间抽样也有其局限性。一个显著的缺点是可能会错过在选定观察间隔之外发生的重要事件。如果研究人员决定每五分钟观察一次,他们可能会忽略在观察窗口之前或之后几分钟内发生的重要事件。因此,仔细规划和考虑选择的时间抽样间隔对于确保收集的数据尽可能全面至关重要。 此外,时间抽样的有效性在很大程度上依赖于其应用的上下文。在快速变化的环境中,例如体育比赛或紧急响应情况下,预定的间隔可能无法捕捉到发生的快速变化。在这种情况下,研究人员可能需要调整他们的方法,可能结合时间抽样与其他观察技术,以获得更全面的视图。 总之,时间抽样是一种有价值的研究策略,允许在各个领域高效地收集数据。它提供行为快照的能力,同时最小化偏见,使其成为研究人员的一个有吸引力的选择。然而,必须意识到其局限性,并根据需要调整方法,以确保数据的相关性和准确性。随着研究的不断发展,时间抽样的应用无疑将继续成为理解复杂行为和多样化环境中互动的关键组成部分。

相关单词

sampling

sampling详解:怎么读、什么意思、用法