Estimation of sampling error on data from cluster sample survey

To clarify the necessity of applying appropriate statistical methods to calculate sampling error from data of cluster sample survey, we take a two-stage cluster sample survey developed from a population aged 15 and over as example. We use statistical methods based on the assumption of simple random...

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Bibliographic Details
Published inZhōnghuá liúxíngbìng zázhì Vol. 29; no. 1; p. 78
Main Authors Lv, Jun, He, Ping-ping, Tu, Wen-xiao, Li, Li-ming
Format Journal Article
LanguageChinese
Published China 01.01.2008
Subjects
Cluster Analysis
Data Interpretation, Statistical
Epidemiologic Studies
Sampling Studies
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Summary:To clarify the necessity of applying appropriate statistical methods to calculate sampling error from data of cluster sample survey, we take a two-stage cluster sample survey developed from a population aged 15 and over as example. We use statistical methods based on the assumption of simple random samples and methods considering complex sample design to analyze our data, respectively. Through comparison, we hope to show the potential effects of using improper statistical methods to estimate sampling error on parameter estimation and hypothesis testing. Using standard error algorithms based on the assumption of simple random samples,the standard errors calculated often underestimate sampling error and the hypothesis testing even gets wrong conclusion. When the statistical methods and statistics package for complex survey data are already available, it is necessary for us to use appropriate methods to analyze and report the sampling errors of data from cluster sample survey.
ISSN:0254-6450