Multilevel Modelling (an MDataGov module)

Description:

This module is part of a series of short (CPD - Continuous Professional Development) courses in Social/Official statistics delivered at the University of Southampton - Highfield campus. 

Multilevel Modelling introduces students to multilevel methods for analysing hierarchical structures in the context of cross-sectional and longitudinal data. It also provides students with an understanding of some key methods of hierarchical data analysis, how to apply these methods and how to interpret the results using suitable statistical software. Teaching will include lectures and practical computer workshop in MLwiN, R, STATA.

For more information see: Advanced Statistical Modelling III: Multilevel Modelling | STAT6126 | University of Southampton

Pre-requisites

Previous knowledge of Regression methods is assumed. Typically, students would be familiar with the linear and logistic regression models. For an example of syllabus for suitable prerequisite, see: Regression Modelling | STAT6095 | University of Southampton

Registration

Registration is by application which should be submitted at least one month before the start of the course. For further information about the application process, please get in touch with Helen Davies at helen.davies@soton.ac.uk

Assessment

This course can be taken with or without assessment. The latter offers the possibility of accumulation of credits for the MSc in Data Analytics for Government https://www.southampton.ac.uk/courses/data-analytics-for-government-masters-msc

Cost:

£1,000

Website and registration:

Region:

South East

Keywords:

Multilevel Modelling , Hierarchical models, Longitudinal Data Analysis, MLwiN, R, Stata

Related publications and presentations from our eprints archive:

Multilevel Modelling
Hierarchical models
Longitudinal Data Analysis
MLwiN
R
Stata

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