Date(s) - 05/06/2021 - 05/08/2021
10:00 am - 5:00 pm
Standard courses on statistical analysis assume that survey data are collected from a simple random sample of the target population. Little attention is given to design features of the survey, including unequal probabilities of observation and stratified multistage sampling.
Most software procedures commonly used for data analysis in statistical software packages, such as SAS, SPSS, and Stata, do not allow the analyst to take these properties of survey data into account. Failure to do so can have an important impact on estimation and population inference for all types of analyses, ranging from simple descriptive statistics to multivariable regression models.
This seminar provides an introduction to statistical methods for the analysis of complex sample survey data. Such data typically include weights that adjust for differences in probability of selection, differences in subgroup response rates, stratification, and clustering, often in multiple stages.
The fee of $895 includes all course materials.
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