Course Code

EDI-08-20/21-P-R

Organised by

Presenter

Professor Paul Lambert, University of Stirling, UK

Date

18/08/2021 - 19/08/2021

Venue

Online Delivery by The University of Edinburgh

Map

View in Google Maps  (EH8 9LN)

Contact

Laura Marshall
(Working week Monday - Wednesday)
L.marshall@ed.ac.uk

Description

Random effects models are applied in a range of social science domains (e.g. education, health and economics). Across disciplines, however, they are often used for different purposes, with different specifications, or even with different terminologies. These differences may well reflect genuine complexities and ambiguities that are associated with their implementation. This two-day course will focus on selected advanced issues in the application of random effects models in social research contexts. It is most suited to empirical social science researchers with some previous experience in using statistical models with random effects.

The course will

• Review common uses of random effects models in the social sciences
• Explore enduring debates in the specification and exploitation of random effects models
• Facilitate virtual lab sessions designed to illustrate and investigate the contribution of random effects models

Participants will be supported in order to

• Secure a rigorous understanding the terminology and features associated with random effects models
• Understand different perspectives in important debates concerning the use of random effects
• Enhance practical skills in applying random effects models to statistical datasets

Participants should have experience of estimating statistical models including some previous experience working with random effects models, for instance through multilevel modelling, frailty modelling or longitudinal and panel models.

The participants will be invited to use their own computers in the virtual lab exercises. Participants should have at least one of the software packages Stata, SPSS and R installed on their computers in order to participate in the virtual labs.

The course will be delivered on-line and run from 10:00 - 16:00 each day.

Level

Advanced (specialised prior knowledge)

Cost

The 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 participants All fees include event materials. Cancellation 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.

Website and registration

https://go.soton.ac.uk/deh

Region

Scotland

Keywords

Generalized liner model (GLM), Random effects, Random effects, Panel models, multilevel models, social statistics, statistical software

Related publications and presentations

Generalized liner model (GLM)
Random effects

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