The centre's core aims are to:
- Develop statistical methods to better represent the complexity of educational and social processes.
- Develop software tools to implement new methods (including MLwiN and the new Stat-JR software system).
- Illustrate the application of new methods to address research questions in education, demography, psychology and public health.
The centre has diverse research interests in education and across the social and health sciences. Areas of current interest include:
- Evaluation of Government school performance measures of educational attainment and progress.
- The relative importance of family, school and neighbourhood on children’s educational progress, separating 'nature' and 'nurture' effects of the family.
- The relationships between changes in individuals’ physical and mental functioning over time and changes in their socio-economic circumstances.
- Methods for the analysis of longitudinal data.
The centre also has a long-standing interest in developing methods and software to aid researchers in analysing partially observed datasets; please see our missing data page for further details.
Current research grants
- How should we measure school performance and hold schools accountable?
- Borrowing Strength – a collaborative software development for Small Area Estimation
- Multilevel analyses of individual heterogeneity: innovative concepts and methodological approaches in public health and social epidemiology
- Modelling within-individual variation in repeated continuous exposures
- The link between adolescent mental health and educational outcomes: Exploring the potential of machine learning methods in two national contexts
- Mental health and educational achievement in UK adolescents
- The changing landscape: diversive friendships and the effects of contextual diversity on youth outcomes
- The use of interactive electronic-books in the teaching and application of modern quantitative methods in the social science
- Using Statistical E-books to teach undergraduate students quantitative methods and statistical software
See also the Gallery of multilevel publications page.