• communal
• communal什么意思
• communal怎么读
• communality

communal

Communal refers to the sharing or participation of a common resource or space by a group of people. This concept is often associated with community living, where individuals come together to share resources, ideas, and responsibilities.

Communal living can take many forms, such as intentional communities, co-housing, or eco-villages. In these communities, individuals often share living spaces, meals, and household duties, creating a sense of shared responsibility and connection.

Beyond physical spaces, communal can also refer to the sharing of ideas, values, and goals. In a communal setting, individuals work together towards a common purpose, creating a sense of belonging and shared identity.

Overall, communal living can offer many benefits, including reduced living costs, increased social connections, and a sense of shared purpose. However, it also requires a willingness to compromise, communicate effectively, and work towards collective goals.

communal什么意思

"Communal"是一个形容词，意思是共同的、公共的、社区的。这个词可以用来形容一些公共的事物，比如公共厕所、公共图书馆等等。同时，它也可以用来形容一些共同的活动或习惯，比如共同进食、共同生活等等。在社会学中，"communal"还可以用来形容一些社区的特点，比如社区的共同价值观、共同文化等等。总的来说，"communal"是一个非常常用的词汇，可以用来描述社区、公共事物、共同活动等等。

communal怎么读

Communal是一个英文单词，读音为/kəˈmjuːnəl/，意思是“共同的，公共的”。这个词通常用来描述一些共同的资源、活动或社区。

在社区生活中，communal资源是非常重要的。例如，公共图书馆、公园、游泳池等都是communal资源，可以供社区居民共同使用。此外，社区中的一些活动，如社区清洁日、社区聚会、义工活动等也是communal活动，可以促进社区的凝聚力和互动性。

在工作场所中，communal工作环境也越来越受欢迎。这种环境可以促进员工之间的交流和合作，提高工作效率和创造力。例如，开放式办公室、共享工作空间等都是communal工作环境的典型例子。

总之，communal这个词可以用来描述一些共同的资源、活动或环境，它在社区生活和工作场所中都非常重要。

communality

Communality refers to the degree to which a set of variables are related to each other. It is a measure of the shared variance between variables in a dataset. In other words, it tells us how much of the variation in each variable can be explained by the other variables in the dataset.

Communality is an important concept in factor analysis, which is a statistical technique used to identify underlying factors that explain the patterns of correlation between variables. By calculating the communality of each variable, we can determine which variables are most strongly related to the underlying factors.

For example, if we are conducting a factor analysis on a dataset of personality traits, we might find that several traits, such as extraversion, agreeableness, and conscientiousness, have high communality values. This indicates that these traits are strongly related to the underlying factor of personality.

Understanding communality is important for researchers in many fields, as it can help identify which variables are most important for predicting a particular outcome or behavior. It can also help researchers develop more accurate models and theories by identifying the underlying factors that explain the patterns of correlation between variables.

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