Multilevel Modelling

Dates: 11th May 2012

Duration: 1 day

Level: Level 2 (intermediate)

Course Fee: Course Fee: £175 (£125 for those from educational institutions)

CCSR offers 5 free places to research staff and students within the Faculty of Humanities at the University of Manchester and the North West Doctoral Training Centre.

Course Leader: Tarani Chandola

Course Requirements: Familiarity with regression models.

Course Summary

This one-day course begins with a description of some examples where multilevel models are useful in statistical analysis and some examples of multilevel populations. We then cover the basic theory of multilevel models and a brief introduction to software that has been written specifically for fitting multilevel models: MLwiN. No prior knowledge of multilevel modelling is assumed. Participants will get some experience of using MLwiN software.

Course Objectives

The course will:

• Introduce the general idea of multilevel modelling
• Consider some issues of multilevel modelling from a substantive and theoretical perspective.
• Show how Multilevel modelling can applied to social data using specialist software MLwiN

Target Audience

Social Scientists who want to learn about a quantitative technique that allows both individual and group level variations to be simultaneously taken into account when modelling social phenomena.

Preliminary Reading

• Snijders and Bosker (1999) Multilevel modelling. Sage.