correlational

简明释义

英[ˌkɒrəˈleɪʃənl]美[ˌkɔrəˈleɪʃənl]

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英英释义

单词用法

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例句

1.The main results were showed as follows:(1)There were certion Correlational dependence between some enzyme about tuberous root starch synthesis and starch increase rate of tuberous root.

试验结果表明：（1）木薯淀粉合成相关酶与块根淀粉积累速率呈一定的相关关系。

2.Plus, social scientists often have to rely on correlational data which is always open to different interpretations.

社会学家不得不依赖于那些采纳各种不同论调的数据。

3.Herfindahl Index and the company achievements have the remarkable correlational dependence.

赫芬德尔指数与公司绩效有显著的正相关关系。

4.The main correlational language cortex included left temporal lobe and bilateral inferior frontal gyrus.

主要语言相关皮层区为左颞叶及双侧额下回。

5.Descriptive and correlational analyses were conducted.

进行了描述性和相关性分析。

6.Conclusion There was an obviously difference of the correlational language cortex between subjects and patients with temporal epilepsy.

结论癫痫病人的语言相关脑区与正常人有明显的差异。

7.However, in fact, the profit on sales of correlational items is highly important for businessman.

而在实际中，相关联项目的销售总利润对于商家来说非常重要。

8.The result of correlational analysis shows that Coping style of relatives of prisoners is different from which of the group.

相关分析的结果表明，服刑人员家属与对照组有不同的应付模式。

9.The correlational research of career management in universities of TCM and western medicine could hardly be found.

中医院校和医学院校的职业生涯相关研究相对匮乏。

10.Their findings suggest a correlational 相关的 connection between social media use and anxiety levels.

他们的发现表明社交媒体使用与焦虑水平之间存在相关的correlational联系。

11.The report highlighted several correlational 相关的 factors affecting climate change.

报告强调了几个影响气候变化的相关的correlational因素。

12.There is a correlational 相关的 trend between income levels and access to healthcare.

收入水平与医疗保健获取之间存在相关的correlational趋势。

13.Researchers are examining the correlational 相关的 relationship between sleep quality and academic performance.

研究人员正在检查睡眠质量与学业表现之间的相关的correlational关系。

14.The study found a strong correlational 相关的 link between exercise and mental health.

这项研究发现锻炼与心理健康之间存在强烈的相关的correlational联系。

作文

In the field of research, understanding the nature of relationships between variables is crucial. One common method used to explore these relationships is through a correlational study. A correlational study examines how two or more variables are related to each other without manipulating any of the variables involved. This type of research can provide valuable insights into patterns and associations that may exist in data. For instance, researchers might investigate the correlational relationship between physical activity and mental health. By analyzing data from various participants, they could determine whether higher levels of physical activity are associated with lower levels of anxiety or depression. The strength and direction of a correlational relationship can be quantified using correlation coefficients, which range from -1 to +1. A coefficient closer to +1 indicates a strong positive relationship, meaning as one variable increases, so does the other. Conversely, a coefficient closer to -1 indicates a strong negative relationship, where an increase in one variable corresponds with a decrease in another. A coefficient around 0 suggests no significant relationship. Understanding these coefficients is fundamental for interpreting correlational data accurately.However, it is essential to remember that correlation does not imply causation. Just because two variables are correlated does not mean that one causes the other. For example, there may be a correlational relationship between ice cream sales and drowning incidents during summer months. While both may increase simultaneously, it would be incorrect to conclude that buying ice cream causes drowning. Instead, a third variable, such as warm weather, likely influences both factors. This highlights the importance of careful analysis and consideration of potential confounding variables in correlational research.Despite its limitations, correlational research plays a vital role in various fields, including psychology, sociology, and medicine. It allows researchers to identify trends and generate hypotheses for further investigation. For example, if a study finds a correlational link between sleep quality and academic performance, educators might explore interventions aimed at improving students' sleep habits to enhance their learning outcomes.Moreover, correlational studies can be particularly useful in situations where experimental research is impractical or unethical. For instance, it would be unethical to randomly assign individuals to smoke or not smoke to study the effects on lung health. However, researchers can conduct correlational studies to examine existing data on smoking habits and health outcomes, providing insights without compromising ethical standards.In conclusion, understanding correlational relationships is a fundamental aspect of research across various disciplines. While correlational studies offer valuable insights into the connections between variables, researchers must exercise caution in their interpretations. By recognizing the limitations of correlation and focusing on the broader context of their findings, researchers can contribute to a more nuanced understanding of the complex interactions within our world. Ultimately, the insights gained from correlational studies can pave the way for more rigorous experimental research and inform practical applications in real-world settings.

在研究领域，理解变量之间关系的性质至关重要。探索这些关系的一种常用方法是通过相关性研究。相关性研究考察两个或多个变量之间的关系，而不操纵任何涉及的变量。这种类型的研究可以提供关于数据中可能存在的模式和关联的宝贵见解。例如，研究人员可能会调查身体活动与心理健康之间的相关性关系。通过分析来自各种参与者的数据，他们可以确定更高的身体活动水平是否与较低的焦虑或抑郁水平相关。相关性关系的强度和方向可以使用相关系数量化，相关系数范围从-1到+1。接近+1的系数表示强正关系，意味着一个变量增加时，另一个变量也增加。相反，接近-1的系数表示强负关系，其中一个变量增加时，另一个变量减少。接近0的系数表明没有显著关系。准确理解这些系数对于准确解释相关性数据至关重要。然而，必须记住，相关性并不意味着因果关系。仅仅因为两个变量是相关的，并不意味着一个导致了另一个。例如，冰淇淋销售与夏季溺水事件之间可能存在相关性关系。虽然两者可能同时增加，但得出购买冰淇淋导致溺水的结论是错误的。相反，第三个变量，如温暖的天气，可能影响这两个因素。这突显了在相关性研究中仔细分析和考虑潜在混杂变量的重要性。尽管存在局限性，相关性研究在心理学、社会学和医学等多个领域发挥着至关重要的作用。它使研究人员能够识别趋势并为进一步研究生成假设。例如，如果一项研究发现睡眠质量与学业表现之间存在相关性联系，教育工作者可能会探索旨在改善学生睡眠习惯以提高学习成果的干预措施。此外，在实验研究不切实际或不道德的情况下，相关性研究特别有用。例如，随机分配个人吸烟或不吸烟以研究对肺健康的影响是不道德的。然而，研究人员可以进行相关性研究，以检查现有的吸烟习惯和健康结果的数据，为此提供见解，而不会损害伦理标准。总之，理解相关性关系是各个学科研究的基本方面。虽然相关性研究提供了有关变量之间连接的宝贵见解，但研究人员在解释时必须谨慎。通过认识到相关性的局限性并关注其发现的更广泛背景，研究人员可以为更细致地理解我们世界中复杂的相互作用做出贡献。最终，从相关性研究中获得的见解可以为更严格的实验研究铺平道路，并在现实世界的环境中为实践应用提供信息。