position by mixed observations

简明释义

综合定位法

英英释义

例句

1.The coach decided to evaluate player performance through a position by mixed observations method.

教练决定通过混合观察的定位方法评估球员表现。

2.By employing a position by mixed observations, the analysts could predict trends more accurately.

通过采用混合观察的定位，分析师能够更准确地预测趋势。

3.The researchers were able to determine the best strategy for the experiment using a position by mixed observations.

研究人员能够通过混合观察的定位确定实验的最佳策略。

4.The team used position by mixed observations to adjust their approach based on feedback from various sources.

团队使用混合观察的定位根据来自不同来源的反馈调整他们的方法。

5.In market analysis, companies often rely on position by mixed observations to understand consumer behavior.

在市场分析中，公司通常依赖于混合观察的定位来了解消费者行为。

作文

In the realm of scientific research and data analysis, the phrase position by mixed observations refers to the practice of forming conclusions based on a combination of different types of data sources and methodologies. This approach is particularly beneficial in fields where complex phenomena are studied, as it allows researchers to obtain a more nuanced understanding of the subject matter. For instance, in environmental science, a researcher might analyze both quantitative data from satellite imagery and qualitative observations from field studies to draw a comprehensive picture of climate change impacts. By employing a position by mixed observations, the researcher can triangulate findings from various perspectives, leading to more robust conclusions.The significance of this method lies in its ability to mitigate biases that can arise from relying on a single type of data source. When researchers depend solely on quantitative data, they may overlook important contextual factors that qualitative data can illuminate. Conversely, qualitative data alone may lack the generalizability that quantitative data provides. Thus, integrating these two approaches through a position by mixed observations not only enriches the research but also enhances its credibility.Moreover, this mixed-methods strategy is increasingly recognized in social sciences. For example, a sociologist studying community dynamics might conduct surveys to gather numerical data on demographics while also performing interviews to capture personal narratives and experiences. The position by mixed observations allows for a deeper exploration of the correlations between statistical trends and individual stories, providing a holistic view of social phenomena.In addition to enhancing the depth of research, employing a position by mixed observations can also foster collaboration among researchers from different disciplines. When experts in quantitative analysis and qualitative research come together, they can create a more comprehensive framework for understanding complex issues. This interdisciplinary approach is vital in tackling global challenges such as public health crises or environmental degradation, where multiple factors must be considered.However, implementing a position by mixed observations requires careful planning and consideration. Researchers must be diligent in selecting appropriate methods and ensuring that the data collected is compatible. Additionally, they should be transparent about their methodologies to allow for reproducibility and validation by other scholars. This transparency is essential in maintaining the integrity of the research process and building trust within the academic community.In conclusion, the concept of position by mixed observations is a powerful tool in the arsenal of researchers across various fields. By integrating different types of data and perspectives, researchers can achieve a more comprehensive understanding of complex issues. This approach not only enhances the quality of research but also encourages collaboration and innovation. As we continue to face multifaceted challenges in our world, the importance of adopting a mixed-methods perspective cannot be overstated. It is through such rigorous and inclusive approaches that we can hope to develop effective solutions and contribute meaningfully to our respective fields.

在科学研究和数据分析领域，短语position by mixed observations指的是基于不同类型的数据源和方法论形成结论的实践。这种方法在研究复杂现象的领域中特别有益，因为它使研究人员能够获得对主题更细致的理解。例如，在环境科学中，研究人员可能会同时分析来自卫星图像的定量数据和来自实地研究的定性观察，以绘制气候变化影响的综合图景。通过采用position by mixed observations，研究人员可以从不同角度三角测量发现，从而得出更稳健的结论。这种方法的重要性在于它能够减轻依赖单一数据源可能产生的偏见。当研究人员仅依赖定量数据时，他们可能会忽视定性数据所能阐明的重要背景因素。相反，仅依靠定性数据可能缺乏定量数据所提供的普遍性。因此，通过position by mixed observations整合这两种方法，不仅丰富了研究，还增强了其可信度。此外，这种混合方法策略在社会科学中也越来越受到认可。例如，一位研究社区动态的社会学家可能会进行调查以收集人口统计学的数值数据，同时还进行访谈以捕捉个人叙述和经历。position by mixed observations使得研究者能够更深入地探讨统计趋势与个体故事之间的关联，为社会现象提供全方位的视角。除了提升研究深度，采用position by mixed observations还可以促进来自不同学科的研究人员之间的合作。当定量分析和定性研究的专家聚集在一起时，他们可以为理解复杂问题创建更全面的框架。这种跨学科的方法在解决全球挑战，如公共卫生危机或环境恶化时至关重要，因为必须考虑多个因素。然而，实施position by mixed observations需要谨慎的规划和考虑。研究人员必须在选择适当的方法时保持勤奋，并确保收集的数据兼容。此外，他们应当对其方法论保持透明，以便其他学者能够重复和验证。这种透明性对于维护研究过程的完整性和在学术界建立信任至关重要。总之，position by mixed observations的概念是各个领域研究人员手中的一种强大工具。通过整合不同类型的数据和观点，研究人员能够对复杂问题实现更全面的理解。这种方法不仅提高了研究质量，还鼓励了合作与创新。随着我们继续面临世界上的多面挑战，采用混合方法视角的重要性不容小觑。正是通过这种严格而包容的方法，我们才能希望制定有效的解决方案，并在各自的领域中做出有意义的贡献。