Computational Skills and Reproducible Research (using Stata) ((Online))



Organised by:

The University of Edinburgh


Dr Roxanne Connelly is Senior Lecturer in Sociology and Quantitative Methods at the University of Edinburgh.


Intermediate (some prior knowledge)


Laura Marshall
Working week: Monday - Thursday

video conference logo

Venue: Online


Social science research is becoming increasingly computationally intensive. The known universe of data that is suitable for statistically orientated social science research is ever expanding. Improvements in data analysis software and programing languages, coupled with increases in the processing speed of computers and the expansion of affordable storage capacity, presents exciting opportunities for social science research.


This one-day course is designed for researchers that undertake statistically orientated data analysis for example with data from social surveys, census records, administrative data and other forms of digital data. It will introduce researchers to a range of techniques and tools that allow them to capitalise on improvements in software and programing languages, and computer resources. The course will emphasise the benefits of programing and using software facilities in order to undertake accurate and efficient research that is transparent and reproducible. A special element of the course will introduce techniques that produce publication-ready statistical outputs.


This course requires prior experience of using Stata and participants must have access to Stata Version 17.


The fee per teaching day is: • £30 per day for students registered at UK/EU University. • £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 participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:




Data Management , Regression Methods, Research Skills, Communication and Dissemination (other), Transparency and reproducibility

Related publications and presentations:

Data Management
Regression Methods
Research Skills, Communication and Dissemination (other)

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