analytic procedure
简明释义
1. 分析步骤; 2. 分析程序;
英英释义
A systematic method or approach used to analyze data or information in order to derive insights, make decisions, or solve problems. | 用于分析数据或信息的系统方法或方法,以便得出见解、做出决策或解决问题。 |
例句
1.The analytic procedure for this project involves multiple steps to ensure accurate results.
该项目的分析程序涉及多个步骤以确保结果的准确性。
2.The analytic procedure was designed to minimize errors during data collection.
该分析程序旨在最小化数据收集过程中的错误。
3.In this study, we applied a systematic analytic procedure to evaluate the data collected from the experiments.
在这项研究中,我们应用了一种系统的分析程序来评估从实验中收集的数据。
4.The scientist used an analytic procedure to determine the composition of the unknown substance.
科学家使用了一种分析程序来确定未知物质的成分。
5.Using an analytic procedure, the researchers were able to identify trends in consumer behavior.
通过使用分析程序,研究人员能够识别消费者行为中的趋势。
作文
In the realm of scientific research and data analysis, the term analytic procedure refers to a systematic method used to examine and interpret data in order to draw meaningful conclusions. This process is crucial in various fields, including psychology, sociology, economics, and natural sciences. By employing an analytic procedure, researchers can identify patterns, relationships, and trends within the data that may not be immediately apparent. To illustrate the importance of an analytic procedure, consider a study aimed at understanding the effects of social media on mental health. Researchers would begin by collecting data through surveys, interviews, or observational methods. Once the data is gathered, the next step involves applying an analytic procedure to analyze the responses. This could include statistical analysis, thematic analysis, or content analysis, depending on the nature of the data collected. For instance, if the researchers opted for statistical analysis, they might use software tools to perform regression analysis, which helps to determine the relationship between social media usage and indicators of mental health such as anxiety or depression. Through this analytic procedure, the researchers can quantify the impact of social media on mental well-being, ultimately leading to evidence-based conclusions. Moreover, an analytic procedure is not limited to quantitative research. In qualitative studies, researchers may employ coding techniques to categorize responses from interviews or open-ended survey questions. This allows them to identify recurring themes and insights that provide a deeper understanding of participants' experiences. The rigor of the analytic procedure ensures that the findings are credible and can contribute to the existing body of knowledge. The significance of an analytic procedure extends beyond academic research; it is also prevalent in business and marketing. Companies often conduct market research to understand consumer behavior and preferences. By utilizing an analytic procedure, businesses can analyze sales data, customer feedback, and market trends to make informed decisions. For example, a retail company might use an analytic procedure to assess the effectiveness of a marketing campaign by comparing sales figures before and after the campaign's launch. This analysis can reveal whether the campaign successfully attracted new customers or increased sales among existing ones. In summary, the concept of analytic procedure is integral to the process of data analysis across various disciplines. It provides a structured approach to understanding complex information and deriving insights that can inform decision-making. Whether in academic research or practical applications in business, the use of an analytic procedure enhances the quality and reliability of the findings, ultimately contributing to advancements in knowledge and practice. As we continue to generate and collect vast amounts of data, mastering effective analytic procedures will remain essential for uncovering truths and driving progress in our understanding of the world around us.
在科学研究和数据分析领域,术语分析程序指的是一种系统的方法,用于检查和解释数据,以得出有意义的结论。这个过程在心理学、社会学、经济学和自然科学等多个领域中至关重要。通过采用分析程序,研究人员可以识别数据中可能不立即显现的模式、关系和趋势。为了说明分析程序的重要性,考虑一个旨在了解社交媒体对心理健康影响的研究。研究人员将首先通过调查、访谈或观察方法收集数据。一旦数据收集完成,下一步就是应用分析程序来分析响应。这可能包括统计分析、主题分析或内容分析,具体取决于所收集数据的性质。例如,如果研究人员选择进行统计分析,他们可能会使用软件工具进行回归分析,这有助于确定社交媒体使用与心理健康指标(如焦虑或抑郁)之间的关系。通过这种分析程序,研究人员可以量化社交媒体对心理健康的影响,最终得出基于证据的结论。此外,分析程序不仅限于定量研究。在定性研究中,研究人员可能会采用编码技术对访谈或开放式调查问题的响应进行分类。这使他们能够识别反复出现的主题和见解,从而更深入地理解参与者的经历。分析程序的严谨性确保了研究结果的可信度,并能为现有知识体系贡献力量。分析程序的重要性不仅体现在学术研究中;它在商业和市场营销中也非常普遍。公司通常进行市场研究,以了解消费者行为和偏好。通过利用分析程序,企业可以分析销售数据、客户反馈和市场趋势,以做出明智的决策。例如,一家零售公司可能会使用分析程序来评估营销活动的有效性,通过比较活动启动前后的销售数据。这种分析可以揭示该活动是否成功吸引了新客户或增加了现有客户的销售。总之,分析程序的概念是各个学科数据分析过程中的重要组成部分。它提供了一种结构化的方法来理解复杂的信息并推导出可以指导决策的见解。无论是在学术研究还是在商业实践中,使用分析程序都增强了研究结果的质量和可靠性,最终促进了知识和实践的进步。随着我们继续生成和收集大量数据,掌握有效的分析程序将仍然是揭示真相和推动我们对周围世界理解的关键。
相关单词