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.
- Illustrate the application of new methods to address research questions in education, demography, psychology and public health.
- Provide training in advanced quantitative research methods.
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.
- School value-added models.
- 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.
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
- Understanding intersectionality: developing intersectional quantitative methods, with applications to health inequalities and social mobility
- The role of sample characteristics in the stability of value-added estimates of school effects: sample size, student mobility and sample heterogeneity
- The 2020 GCSE and A-level 'exam grades fiasco': A secondary data analysis of students' grades and Ofqual's algorithm
- The Bias In Primary Education Project
Recently completed research grants
- 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
- 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
- Efficient and transparent methods for linking and analysing longitudinal population studies and administrative data
- The Development of Inequalities in Child Educational Achievement: A Six Country Study project