This course will introduce random effects (multilevel) models for the analysis of repeated measures data. Topics will include:
• Growth curve models, as multilevel models and structural equation models
• Random effects and marginal models for binary data; subject-specific and population-averaged effects
• Introduction to dynamic (autoregressive response) models
The emphasis will be on the practical application of methods for longitudinal data analysis and interpreting the results. Lectures will be combined with hands-on practical exercises in Stata, using a range of social science datasets.
This course is supported by the LEMMA project, a node of the ESRC National Centre for Research Methods.
Familiarity with multilevel modelling and logistic regression analysis to the level of knowledge obtained by completing Modules 5 and 6 of the Centre for Multilevel Modelling’s online course.
Rabe-Hesketh S, Skrondal A. (2012) Multilevel and Longitudinal Modeling Using Stata, Third Edition. Volume I: Continuous Responses. College Station, Texas: Stata Press.
Fiona Steele (London School of Economics)
The course will be held at the Humanities Bridgeford Street Building, University of Manchester M13 9PL.
• For UK-registered students - £60
• For staff at UK academic institutions, ESRC funded researchers, UK public sector staff and staff at registered charity organisations* - £120
• For all other participants - £240
- A limited number of places at the academic rate are also available for other UK non-academics.
The course fee includes event materials, lunch and morning\afternoon refreshments. The fee does not include travel and accommodation costs.
A full refund will be given if cancellation occurs 1 month prior to the event. No refund is given after this date. By completing the application form, you are accepting these cancellation terms.
Applications are now closed.