Aim: to follow up LEIP participants to find out whether there are any long-term benefits from their exposure to a new approach to working with ‘at risk’ pupils in terms of, for example, lower chances of truancy/exclusion, or a higher application rate to university
Aim: to understand how much ‘undermatch’ there is in UK higher education – where a student’s A-level grades could get them onto a more selective university course that the one they’re on – what characterises those students, and how it affects their outcomes at university and in the job market.
Evaluating variation in special educational needs provision for children with Down syndrome and associations with emergency use of hospital care
Aim: to follow cohorts of children from birth through to secondary school, and understand how support services for children with Down syndrome work together.
Linking Individualised Learner Records (ILR) to business outcome indicators (Employer Data Service and Inter Departmental Business Register data)
Aim: to estimate the magnitude of employer’s returns from apprenticeships by looking at the evolution of earnings among apprenticeship graduates and compare movers to stayers.
Aim: To inform survey practitioners on how to mitigate the negative impacts of survey non-response, leading to cost savings during survey data collection
Aims: To develop guidance for providers, linkers and users of linked administrative data on the information that should be shared at each step of the linkage pathway
Aims: To develop computational methods for creating profiles derived from the national Electronic Health Records (EHR) and to build tools to transform raw EHR into research-ready data for statistical analyses
Aims: To evaluate characteristics of linked vs unlinked participants in three different cohorts - a group of people with a common characteristic - and the added benefits of updating important identifiers (e.g. postcode at school entry)
Aims: To develop methods for evaluating possible non-linkage biases in linked dataset estimates caused by not being able to link all subjects of interest across datasets
Aims: To investigate requirements for information governance which reflect both legal compliance and public attitudes to data sharing
Aims: To help social work policymakers and professionals to understand which groups of children are most likely to re-enter care, and who may need additional support when leaving
Linking Annual Survey of Hours and Earnings to HMRC administrative data to analyse the impact of (vocational) education on jobs performed
Aim: To examine jobs and career paths of those with intermediate and higher‐level vocational education, and to find out: which vocational qualifications are helping people into skilled jobs; how these qualifications map on to skills; and which vocational qualifications lead to jobs with little or no relevant skill, or to no job at all?
Aim: This research aims to assess the current Job Seeker’s Allowance system, which plays a central role in the dynamics of the UK labour market, to understand how it can be improved in future.
Aims: To test the policy of giving parents information about their child’s weight at age 4-5, to see if it has an effect on their body-mass index (BMI) at 10-11.
Aims: To examine whether the simplification of the welfare system following the introduction of Universal Credit have helped benefit claimants make better choices on how much to work.
Evaluating the effect of Community Mental Health services on the lives of people with mental health problems in England over a time of economic insecurity
Aims: To examined the effect of changes and continuities in Community Mental Health (CMH) services on the life experience of CMH service users in England.
Aims: To further understand the more detailed link between pupil disadvantage, the nature of pupil intakes to schools, and educational outcomes.
Patterns of error in survey based estimates of consumption and their implications for energy consumption
Aims: To understand the patterns of energy consumption reporting error.
Aims: To provide a fuller and clearer answer than has previously been possible to the question of whether admissions to higher education in the UK are fair.
Aims: To assess using four different methods, the variations in hospital discharges by CTOs and effects that CTOs have on patients.
Aims: To determine whether diabetic patients are concentrated within specific types of areas, whether diabetic patients are highly mobile, and which areas diabetic patients tend to move to
Aims: To understand whether the relationship between neighbourhood deprivation and poor mental health is caused, in some part, by the migration of individuals using mental health services into inner-city deprived areas, where specialist health services are often concentrated.
Evaluating linkage between children's health, education and social care data - pre-term births sub-study
Aims: To develop linkage between primary care and Hospital Episode Statistics datasets using shared clinical characteristics.
Aims: To meet an urgent need for evidence-based guidance on the effective use of contextual data in university admissions.
Aims: To identify what helps people to live well or makes it difficult to live well when they have, or care for someone with, dementia.
Aims: To understand whether there are any long-term benefits or harms (e.g. obesity) of nutrient enriched formulas for babies.
Aims: To assess whether using MOD data on service leavers in conjunction with 2011 Census data could meet a user need for more data on the characteristics of those who have served, and now left, the UK armed forces (service leavers).
Using linked administrative data to understand the relationship between education and health outcomes for children and young people in England
Aim: To improve the care of children living in England affected by chronic health conditions by using linked routinely collected hospitals and schools data.
Aims: 1) Quantify mid- and long-term flood impacts on physical and mental health of people in England; 2) Disentangle relocation effects in the reported positive flood impact on mortality; and 3) Investigate what information is required to estimate the costs of health and social services from the current flood exposure and future events