Population health research frequently relies on complex survey data (e.g., BRFSS, HINTS, NHANES, NHIS, YRBSS), which typically samples a population using unequal probability of selection, stratification, and clustering. Appropriate statistical procedures are needed to account for these design features when analyzing complex survey data. This webinar will introduce participants to the basics of analyzing complex sample survey data, including common mistakes related to variance estimation and sub-population analysis. The webinar will also review the new Preferred Reporting Items for Complex Sample Survey Analysis (PRICSSA) and discuss what should be reported in a paper analyzing complex survey data.