Ramos L R, Goihman S
Rev Saude Publica. 1989 Dec;23(6):478-92. doi: 10.1590/s0034-89101989000600006.
Considering that in most developing countries there are still no comprehensive lists of addresses for a given geographical area, there has always been a problem in drawing samples from the community, ensuring randomisation in the selection of the subjects. This article discusses the geographical stratification by socio-economic status used to draw a multistage random sample from a community-based elderly population living in a city like S. Paulo-Brazil. Particular attention is given to the fact that the proportion of elderly people in the total population of a certain area appeared to be a good discriminatory variable for such stratification. The validity of the stratification method is analysed in the light of the socio-economic results obtained in the survey.
考虑到在大多数发展中国家,对于给定的地理区域仍没有全面的地址清单,从社区抽取样本并确保在选择受试者时实现随机化一直存在问题。本文讨论了根据社会经济地位进行地理分层的方法,该方法用于从居住在巴西圣保罗这样的城市的社区老年人群体中抽取多阶段随机样本。特别要注意的是,某一地区老年人口在总人口中的比例似乎是进行这种分层的一个很好的区分变量。根据调查中获得的社会经济结果分析了分层方法的有效性。