Statistical Modelling

Course Code


Organised by

The University of Edinburgh


Professor Vernon Gayle is a Co-Director of the ESRC National Centre for Research Methods.




On-line delivery


View in Google Maps  (EH8 9LD)


Laura Marshall
0131 651 3001


The social world is complex and messy. Statistical models provide a formal approach to evaluate data, test ideas and investigate research questions.

This is a one day workshop on statistical models for social science data analysis. It will introduce the underlying concepts associated with multivariate analysis using statistical models. The workshop will concentrate on models within the generalized linear modelling framework. It will cover linear regression, and models for binary, categorical, ordered categorical and count data. The focus of the workshop will on social science applications, and social science data and research questions will be showcased throughout. The emphasis will be on interpreting outputs (e.g. from data analysis software packages) and understanding published results.

The event is intended to be engaging and informative and it will be delivered on-line during the COVID-19 crisis.

This is not a practical workshop and it does not provide training in the use of data analysis software. It will however provide a strong theoretical foundation for future engagement at practical workshops that are designed to provide hands-on training in data analysis.

A high level of mathematical ability is not required, but participants should ideally have undertaken an introductory statistics and data analysis course (e.g. a semester long module as part of a Masters degree).

Course Timings: 10:00am - 4:00pm


Intermediate (some prior knowledge)


The fee (online courses) 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 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 the 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




Linear regression, The Multivariate World , , , , , , , , , Generalized Linear Models , , , , , , , , , Modelling Binary Outcomes , , , , , , , , , Modelling Categorical Outcome , , , , , , , , , Modelling Order Categorical Outcomes , , , , , , , , , Modelling Count Data , , , , , , , , , More Exotic Models , , , , , , , , , Choosing a

Related publications and presentations

Linear regression

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