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Sampling Design and Analysis of Complex Surveys

Large-scale surveys are increasingly made available to and used by researchers in many fields for secondary data analysis. These surveys have often a complex design which might include features such as stratification, multi-stage sampling and unequal sampling probabilities. The statistical analysis of such a survey will yield incorrect results if the design is not properly taken into consideration.

The purpose of this workshop is to offer participants an overview of complex survey design and the aspects that need to be taken into consideration when performing a statistical analysis. Examples will be presented and practical aspects such as available software will be discussed.

The workshop is intended for participants who have the equivalent of at least two semesters of statistics.

Fee: None to members of the Cornell community, but registration is required. Since space is limited, early registration is encouraged.

For times and locations of upcoming workshops, please see the Workshop Schedule.