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You are here: Home > Statistics > Short Courses

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 psc@lancaster.ac.uk for more information about this course.

Cost
The course fees include all supporting documentation and refreshments.
  • 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
Course description

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.

Topics covered
  • 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 GLLAMM
Learning
Students will learn through the application of concepts and techniques covered in the course 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
Cancellation Policy
Registrations are transferable to another course or individual at any time. Full refunds will be given for cancellation 10 or more working days before the course start date. Otherwise the full course fee will be charged.