Analysis of Adaptive Cluster Sampling Utilizing Standard Software Packages Without Complex Programming
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Abstract
Simple random sampling with or without replacement is the easiest to analyze using standard software, such as SAS, SPSS, Minitab, etc. Better population estimates can be obtained through more complex sampling design, but this introduces analysis issues. For example, regression is very straightforward with simple random sampling, but this is not always the case when more complicated sampling designs are used, such as adaptive cluster sampling. A serious concern with regression estimates introduced with many complicated designs is lack of independence, a necessary assumption. This paper covers an effective manner to analyze data collected from adaptive cluster sampling designs using standard software. Also, included is sample SAS code.
Keywords: Adaptive cluster sampling, Hansen-Hurwitz, SAS
Corresponding author: E-mail: dryer@hotmail.com , ctchao@email.stat.ncku.edu.tw
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