Multi-level Models Course
Date:
29/04/2015 - 30/04/2015
Organised by:
Lancaster University
Presenter:
Dr Tom Palmer
Level:
Intermediate (some prior knowledge)
Contact:
Angela Mercer, Short Course Administrator, (01524) 593064; Email: a.j.mercer@lancaster.ac.uk
Map:
View in Google Maps (LA1 4YF)
Venue:
Postgraduate Statistics Centre, c/o Mathematics and Statistics Department, Lancaster University, Lancaster
Description:
Outline: The aim of this module is to highlight the problems that occur when the hierarchical nature of many social surveys is ignored in routine statistical analysis. The classical 'variance components' ANOVA model will be described and extended to the multilevel model. Estimation techniques such as REML will be outlined. The analysis of such models will be illustrated using appropriate software.
Topics covered will be:
The nature of heterogeneity and intraclass correlation. Random effects in ANOVA models, variance components and REML. The problem of bias in naïve statistical methods. Multilevel models and random parameter models. Estimation methods. Illustrations of statistical inference in statistical software such as R or GLLAMM.
Learning: Students will learn through the application of concepts and techniques covered in the module to real substantive issues.
Successful students will be able to:
• understand the issue of heterogeneity in social studies
• carry out advanced statistical procedures
• apply theoretical concepts
• identify and solve problems
• analyse data and interpret statistical output
Cost:
External from industry/commerce - £255 per day;
External from academic institution/public sector/charity staff - £220 per day;
External postgraduate student - £150 per day.
Website and registration:
http://www.lancaster.ac.uk/maths/postgraduate/short-courses-and-cpd/
Region:
North West
Keywords:
Multilevel Modelling
Related publications and presentations: