polychotomous

简明释义

英[ˌpɒlɪˈkɒtəməs]美[ˌpɒlɪˈkɒtəməs]

多叉分枝的

英英释义

单词用法

同义词

反义词

例句

1.The two-parameter logistic model is regarded as a polychotomous test model, and the item parameter and the ability parameter are further estimated with the iteration method.

将两参数逻辑斯蒂模型作为多级评分模型，并用迭代法对项目参数及能力参数进行点估计。

2.The two-parameter logistic model is regarded as a polychotomous test model, and the item parameter and the ability parameter are further estimated with the iteration method.

将两参数逻辑斯蒂模型作为多级评分模型，并用迭代法对项目参数及能力参数进行点估计。

3.So the cognitive diagnosis under polychotomous scoring model is very meaningful.

因此，研究基于多级评分模型的认知诊断具有重要的意义。

4.The results showed a polychotomous 多项选择的 distribution of preferences among the participants.

结果显示参与者之间存在多项选择的偏好分布。

5.The polychotomous 多项选择的 nature of the test allowed students to select multiple correct answers.

测试的多项选择的特性允许学生选择多个正确答案。

6.In the survey, respondents were asked to choose from a polychotomous 多项选择的 set of answers regarding their favorite type of cuisine.

在调查中，受访者被要求从一个多项选择的答案集中选择他们最喜欢的菜系。

7.A polychotomous 多项选择的 variable can provide more detailed insights than a simple binary option.

与简单的二元选项相比，多项选择的变量可以提供更详细的见解。

8.Researchers often use polychotomous 多项选择的 questions to gather more nuanced data in their studies.

研究人员经常使用多项选择的问题来收集更细致的数据。

作文

In the field of research and data analysis, the term polychotomous refers to a variable that can take on more than two categories or levels. This is particularly important when designing surveys or experiments where the responses are not limited to a simple yes/no format. For instance, consider a survey that asks participants about their favorite type of music. The options might include rock, pop, jazz, classical, and hip-hop. In this case, music preference is a polychotomous variable because it has multiple potential responses. Understanding polychotomous variables is crucial for researchers as they analyze the relationships between different factors and outcomes.When conducting statistical analyses, recognizing whether a variable is polychotomous can influence the choice of methods used. For example, if researchers are examining the impact of various educational approaches on student performance, they might categorize students based on their preferred learning styles: visual, auditory, kinesthetic, or a combination of these. Each of these categories represents a distinct group, making learning style a polychotomous variable. The importance of polychotomous variables extends beyond academic research; they also play a significant role in market research. Companies often want to understand consumer preferences, which can vary widely. A company launching a new product might ask customers to choose from several features they find appealing. The responses could range from affordability, quality, design, brand reputation, and customer service. Each of these features is part of a polychotomous set of options that helps the company tailor its marketing strategy effectively.Moreover, in psychology, many assessments use polychotomous scales to measure attitudes or behaviors. For instance, a Likert scale might ask respondents to rate their agreement with a statement on a scale from 1 to 5, where each number represents a different level of agreement. Here, the scale is polychotomous because it encompasses multiple values rather than a binary choice. This allows for a more nuanced understanding of respondents' feelings and opinions.In conclusion, the concept of polychotomous variables is vital across various fields, including research, marketing, and psychology. They allow for a richer analysis of data by accommodating a wide range of possible responses. By recognizing and utilizing polychotomous variables, researchers and professionals can gain deeper insights into the complexities of human behavior and preferences. Understanding this term enhances our ability to interpret data meaningfully and make informed decisions based on those interpretations. As we continue to explore the intricacies of human choices and behaviors, the significance of polychotomous variables will undoubtedly remain a key focus in both academic and practical applications.

在研究和数据分析领域，术语polychotomous指的是可以采取两个以上类别或水平的变量。这在设计调查或实验时尤为重要，因为响应不仅限于简单的“是/否”格式。例如，考虑一项询问参与者最喜欢的音乐类型的调查。选项可能包括摇滚、流行、爵士、古典和嘻哈。在这种情况下，音乐偏好是一个polychotomous变量，因为它有多个潜在的响应。理解polychotomous变量对研究人员来说至关重要，因为他们分析不同因素和结果之间的关系。在进行统计分析时，识别一个变量是否为polychotomous会影响所使用的方法选择。例如，如果研究人员正在研究各种教育方法对学生表现的影响，他们可能会根据学生的学习风格进行分类：视觉、听觉、动觉或这些的组合。每个类别代表一个不同的组，使学习风格成为一个polychotomous变量。polychotomous变量的重要性不仅限于学术研究；它们在市场研究中也发挥着重要作用。公司通常希望了解消费者偏好，这些偏好可能差异很大。一家推出新产品的公司可能会询问客户他们认为吸引人的几个特征。响应可能包括可负担性、质量、设计、品牌声誉和客户服务。每个特征都是polychotomous选项集的一部分，帮助公司有效地调整其营销策略。此外，在心理学中，许多评估使用polychotomous量表来测量态度或行为。例如，李克特量表可能要求受访者在1到5的范围内对某个陈述的同意程度进行评分，其中每个数字代表不同的同意水平。在这里，量表是polychotomous的，因为它包含多个值，而不是二元选择。这允许对受访者的感受和观点进行更细致的理解。总之，polychotomous变量的概念在各个领域都至关重要，包括研究、市场营销和心理学。它们通过容纳广泛的可能响应，使数据分析更丰富。通过识别和利用polychotomous变量，研究人员和专业人士能够深入了解人类行为和偏好的复杂性。理解这个术语增强了我们有意义地解释数据的能力，并基于这些解释做出明智的决策。随着我们继续探索人类选择和行为的复杂性，polychotomous变量的重要性无疑将继续成为学术和实际应用中的一个关键焦点。