Analysing Complex Surveys (join a waiting list)


18/02/2021 - 19/02/2021

Organised by:

The University of Edinburgh


Dr Roxanne Connelly, Senior Lecturer in sociology and quantitative methods at The University of Edinburgh.


Intermediate (some prior knowledge)


Laura Marshall
Working week: Monday - Wednesday

video conference logo

Venue: Online


We often learn statistical data analysis skills using data which is assumed to arise from a simple random sample of the target population. However, most large scale multi-purpose social survey data resources use complex sampling strategies. These include many of the UK’s large scale infrastructural data resources such as Understanding Society or the Millennium Cohort Study. Complex sample designs need to be taken into account when analysing these data if we intend to make inferences to a wider population.


This workshop will provide students with the skills to appropriately analyse complex samples data using Stata.

Students need access to Stata, and some familiarity with Stata is assumed.

Course Timings: 11:00 - 15:00 both days.  The course will be delivered online due to the COVID-19 pandemic.



The online fee per teaching day is:• £30 per day for UK/EU registered students• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £100 per day for all other participantsCancellation Policy: Please be reminded that you will be charged the full registration fee if you cancel your place within 4 weeks before the training delivery date or you fail to attend. If you are able to fill the place on the course you are cancelling then the cancellation charge will not apply

Website and registration:




Quantitative Software, Probability sampling methods , Survey sampling , Cohort studies , Household panel studies , The workflow , Descriptive studies , Regression methods , Stata

Related publications and presentations:

Quantitative Software

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