Multi Level Models
Date: 25th - 26th April 2012
Duration: 2 days
Delivered by: Dr Damon Berridge and Dr Mick Green
Registration deadline has passed.
Please contact firstname.lastname@example.org for more information about this course.
- External from industry/commerce - £510
- External from academic institution/public sector/charity - £440
- External postgraduate student - £300
- Lancaster University staff - £120
- Lancaster University postgraduate student - £60
- Members of Mathematics and Statistics at Lancaster University - £ 0
The aim of this course 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.
- The nature of heterogeneity and intraclass correlation
- Random effects in ANOVA models, variance components and REML
- The problem of bias in na´ve statistical methods
- Multilevel models and random parameter models
- Estimation methods
- Illustrations of statistical inference in statistical software such as GLLAMM
- 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