Random Effects Modelling - Advanced Issues (online)
|The University of Edinburgh|
Professor Paul Lambert, University of Stirling, UK
18/08/2021 - 19/08/2021
Online Delivery by The University of Edinburgh
View in Google Maps (EH8 9LN)
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
Participants will be supported in order to
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.
Advanced (specialised prior knowledge)
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
Generalized liner model (GLM), Random effects, Random effects, Panel models, multilevel models, social statistics, statistical software
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