Random Effects Modelling – Advanced Issues (online)
Date:
23/10/2024 - 24/10/2024
Organised by:
NCRM, The University of Edinburgh
Presenter:
Professor Paul Lambert, University of Stirling, UK. Paul Lambert is a sociologist who specialises in secondary survey research
Level:
Advanced (specialised prior knowledge)
Contact:
Laura Marshall
Usher Communications
usher.communications@ed.ac.uk
Working week: Monday - Thursday
Venue: Online
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.
Two day course: 23 & 24 October 2024 | Course Timings: 10:00 - 16:00
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. Example materials will be available in all three packages, although the largest volume of examples are available in Stata format.
The course is best suited to postgraduate students and postgraduate/postdoctoral researchers who have some previous experience of working with quantitative datasets and using statistical models to analyse them. Participants might be drawn from any career stage.
Cost:
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:
Region:
Scotland
Keywords:
Quantitative Data Handling and Data Analysis, Multilevel Modelling , Random effects, Panel data models, social statistics, statistical software
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Multilevel Modelling
Random effects
Panel data models