Applied Multilevel Modelling (join a waiting list)
Date:
15/06/2015 - 17/06/2015
Organised by:
NCRM, University of Southampton
Presenter:
Dr Ian Brunton-Smith is a Senior Lecturer in quantitative methods in the Department of Sociology at the University of Surrey. He has also worked as a criminologist in the Crime Surveys team at the Home Office. He has research interests in the impact of neighbourhood effects on individual outcomes, interviewer effects, and cross-national research. He has also published on the effects of panel conditioning on survey outcomes, how to measure crime, and multilevel meta-analysis. He completed his PhD in Social Statistics at the University of Surrey and has an MSc in Social Research Methods and a BA in Criminology.
Dr Gabriele B. Durrant is Associate Professor in Social Statistics in the Department of Social Statistics and Demography at the University of Southampton. She is the principal investigator of a 4-year ESRC-funded research grant in the UK on paradata and was previously the PI of a 3.5 year ESRC grant on nonresponse analysis. She has research interests in the analysis of paradata, interviewer effects, nonresponse in sample surveys, measurement error, and statistical modelling in the social sciences, in particular multilevel modelling. Gabriele has taught a wide range of statistical courses, primarily short courses at postgraduate level, including courses for professional development.
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp, Training & Capacity Building Administrator, University of Southampton
Tel: 02380 594069
Email: jmh6@soton.ac.uk
Map:
View in Google Maps (SO17 1BJ)
Venue:
Building 39, University of Southampton, Highfield, Southampton, Hants
Description:
This course will focus on the application of multilevel models to hierarchically clustered data structures. Topics will include types of multilevel data structures, linear multilevel and logistic multilevel models, random intercept and random slope models, and the use of graphical methods to display results. The course will focus primarily on situations where the dependent variable is continuous, but methods will also be introduced for dealing with binary response data. The course will include a mixture of lectures and practical workshops using the multilevel modelling software MLwiN.
- Multilevel data structures
- Random intercept and random slope models
- Contextual effects and cross-level interactions
- Diagnostic checking and model specification
- Binary response models
- Repeated measures analysis and non-nested data
The course will have a practical emphasis with computer workshops allowing participants to work through examples using the MLwiN software.
By the end of the course participants should:
- Have a practical understanding of the ideas and methods of modelling data with a multilevel data structure, and know when their use is appropriate
- Have a detailed understanding of how to critically interpret results from multilevel models
- Gain a working knowledge of the multilevel statistical package MLwiN
- Be able to apply these methods to continuous and binary response data
The course includes some computer workshops and will be using the multilevel modelling software MLwiN.
The course is aimed at researchers who want to perform multilevel modeling and have to work with clustered data. Participants may be academic researchers in the social and health sciences or may work in government, survey agencies, official statistics or the voluntary or private sector.
Cost:
The course fee is:
The fee is:
• £90 for UK registered students
• £180 for staff at UK academic institutions, UK Research Councils researchers, UK public sector staff and staff at UK registered charity organisations and recognised UK research institutions.
• £660 for all other participants
The course fee includes course materials, lunches and morning and afternoon refreshments. Travel and accommodation are to be arranged and paid for by the participant.
Course places are limited and early registration is strongly recommended.
Website and registration:
Region:
South West
Keywords:
Linear regression, Logistic regression, Multilevel Modelling , Longitudinal Data Analysis, Growth curve models, Quantitative Approaches (other)
Related publications and presentations:
Linear regression
Logistic regression
Multilevel Modelling
Longitudinal Data Analysis
Growth curve models
Quantitative Approaches (other)