Understanding Complex Social Survey Data
This course is aimed at postgraduate students (Masters and Ph.D.), researchers, and officials in state agencies wanting to analyse social surveys using Stata. It explains the complex nature of the sample design of household surveys, including unequal probabilities of selection and weighting, clustering and stratification. It also covers calibration, variance estimation, data quality and (briefly) imputation.
- Outline the theory of weighting, clustering and stratification,
- Discuss how social surveys are practically implemented in South Africa,
- Introduce the survey analysis tools available in Stata,
- Explain how to get estimates from sample surveys that are representative of the population,
- Show how to calculate the correct standard errors for such estimates.
Prerequisites: Course participants should be familiar with Stata and with basic statistical tools (such as regression analysis). Don't know Stata? Have a look at our Introduction to Stata course.
Date: Next course is in January 2021
Venue: Teaching Lab, Economics Building, Middle Campus, University of Cape Town
Course Instructors: Muna Shifa and Sara Tonini
Course Fees: To be confirmed. Partial scholarships are available to bona fide students and academics.
This is a joint SALDRU and DataFirst course.
"This is a very relevant course for students, researchers as well as policy makers. This course would not have come at a better time for me. My only problem is that one week is not enough." (anonymous)
"It is an informative course that's gives insight into complex surveys. It enables us to understand the importance of sample design when performing an analysis and even though you may not deal with the methodology part you get to understand all that goes in to data cleaning." (anonymous)
"Very valuable material transferred in an interactive setting that promoted critical engagement and learning." (anonymous)