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 a practical 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.
Starting May 9, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.
*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.
Closed captioning is available for all live and recorded sessions. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.