Week 4-data set
Here is the reflection of week 4
取样调查和变量结合分析法： 1.学会将文字内容进行量化分析 2.分类也分数字和文字两大块分类区别 Why might you choose to use probability sampling in your research? Why might you choose to use non-probability sampling in your research? How might you implement these methods using digital tools?
the sampleing strategy's definition: The strategy is the plan you set forth to be sure that the sample you use in your research study represents the population from which you drew your sample. 我可能会选择quantitative strategy,因为对于数据的统计比起纯粹的解读更加具有说服力和让人信服。至于sampling的方法则取决于研究的问题，如果是需要针对某一区域特定人群的调查，那么probability sampling是有效的，但是如果是面向一般大众的调查，则non-probability sampling是有效的。 In the ‘What Are Variables?’ document, you are introduced to a variety of numeric and categorical variables. Identify at least one example of each kind of variable from your everyday life. Variable即变量，日常里进行控制变量调查的情况有很多。Examples of discrete variables include the number of registered cars, number of business locations, and number of children in a family, all of of which measured as whole units (i.e. 1, 2, 3 cars). Categorical variables：定性向分类，往往都是用笼统的语言概念来对物品/数据进行分类。 numeric variable：定量向分类，以实际实验数据或者调查采集数据为准。