摘要
为比较常用的几种复杂抽样调查的设计效率，以“2002年中国居民营养与健康状况调查”的数据为依据构造抽样总体，利用统计模拟的方法，估计出不同复杂抽样调查的设计效率值。结果显示，不同复杂抽样的设计效率值差别较大，样本量越大、抽样阶段数越多、分层数越少，复杂抽样的设计效率值越大。实际中采用复杂抽样时，可尽量减少抽样阶段数，细化分层类别，以降低设计效率值，提高设计效率。
To compare the designing effects （DE） among different complex sampling designing programs. Data from the ＇2002 Chinese Nutrition and Health Survey＇ was used as an example to generate the sampling population, and statistical simulation method was used to estimate the values of DEs from six complex sampling designing programs. It was found that the values of DEs varied among the six complex sampling designing programs. The values of the DEs were associated with the sample sizes in a positive way, with more sample stages and less stratified categories. Reduction of the numbers of sample stages and detailing stratified categories could decrease the DE values so as to improve the DE.
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
2012年第10期1079-1082,共4页
Chinese Journal of Epidemiology
关键词
复杂抽样调查
设计效率
Complex sampling design
Design effect
