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→分层随机试验步骤
== 分层随机试验步骤 ==
== 分层随机试验的步骤 ==
分层随机试验在目标总体异<font color="#ff8000"> '''质性
分层随机试验在目标总体异<font color="#ff8000"> '''质性
# Define a target population.
# 定义目标总体
# Define stratification [[Variable and attribute (research)|variables]] and decide the number of strata to be created. The criteria for defining variables for stratification include [[Ageing|age]], [[socioeconomic status]], [[nationality]], [[Race (human categorization)|race]], [[Educational stage|education level]] and others and should be in line with the research objective. Ideally, the number of 4-6strata should be employed, as any increase in stratification variables will raise the probability for some of them to cancel out the impact of other variables.<ref name=":5" />
# Define stratification [[Variable and attribute (research)|variables]] and decide the number of strata to be created. The criteria for defining variables for stratification include [[Ageing|age]], [[socioeconomic status]], [[nationality]], [[Race (human categorization)|race]], [[Educational stage|education level]] and others and should be in line with the research objective. Ideally, the number of 4-6strata should be employed, as any increase in stratification variables will raise the probability for some of them to cancel out the impact of other variables.<ref name=":5" />
Define stratification variables and decide the number of strata to be created. The criteria for defining variables for stratification include age, socioeconomic status, nationality, race, education level and others and should be in line with the research objective. Ideally, the number of 4-6strata should be employed, as any increase in stratification variables will raise the probability for some of them to cancel out the impact of other variables.
Define stratification variables and decide the number of strata to be created. The criteria for defining variables for stratification include age, socioeconomic status, nationality, race, education level and others and should be in line with the research objective. Ideally, the number of 4-6strata should be employed, as any increase in stratification variables will raise the probability for some of them to cancel out the impact of other variables.
定义分层<font color="#ff8000"> '''变量 Variables''' </font>并决定要创建的分层数量。确定分层变量的标准,包括年龄、社会经济地位、国籍、种族、教育程度等，并应与研究目标相一致。理想情况下，应该使用4-6个阶层的数量，因为任何分层变量的增加将提高其中一些变量抵消其他变量的影响的概率。
# Use a [[sampling frame]] to evaluate all the elements in the target population. Make changes afterwards based on [[Coverage probability|coverage]] and grouping.
# Use a [[sampling frame]] to evaluate all the elements in the target population. Make changes afterwards based on [[Coverage probability|coverage]] and grouping.