This new training course introduces the key aspects of Understanding Society, including study design, content, data structure, and weighting, along with basic data management skills such as merging data files from different waves and linking household-level data to individual-level data. The main aim of the course is to introduce these topics in an accessible way, minimising specialist jargon and explaining the content step-by-step with practical examples.
The course is particularly aimed at researchers starting their journey with quantitative survey data or wanting to learn about using longitudinal data. This training is suitable for undergraduate and master’s students, as well as those beginning a PhD.
The course consists of two parts: a one-hour lecture and a three-hour interactive, hands-on practical session. During the practical session, participants will work through exercises with guidance and support from the tutor, focusing on the advantages of the longitudinal and household nature of the data through real examples.
The course is designed for people with some prior experience using cross-sectional survey data, but assumes only basic knowledge and skills in data analysis (cross-tabulation, basics of OLS regression) and statistical software (basic skills and a willingness to learn to use syntax commands/code).
When and where
The course takes place on two dates: the 15 January for those wishing to learn in Stata or R, and the 17 January for those using SPSS. It will be held in-person, at the University of Essex. It’s free to attend, but you do need to register in advance.
Register for the gentle introduction to Understanding Society
EducationEmploymentEthnicity and immigrationFamily and householdsHealth and wellbeingIncome and expenditureMoney and financesPolitics and social attitudesSocial mobilityTransport and environment
