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We undertake multidisciplinary research on issues that affect all our lives: child development, education, social mobility, health and wellbeing, families and family life, and ageing. We also conduct research into survey methods, and applied statistical methods.
Our applied statistical methods programme specialises in methods for dealing with attrition, causal identification, and data harmonisation.
Our research helps tackle some of the key challenges we face in our society today.
To find out more, explore the links below.
This project was part of a collaborative research programme entitled ‘Healthy Ageing across the Life Course’ (HALCyon). This programme was funded under the New Dynamics of Ageing initiative – a cross council multi-disciplinary research.
This project analysed data from the first four surveys of the Millennium Cohort Study, at ages 9 months, 3 years, 5 years, 7 years and 11 years. It looked specifically at factors related to parents’ contact with their children after separation,…
The aim of the study was to enhance our understanding of disabled children’s early cognitive development and their subsequent educational transitions.
This project aimed to optimise the design and coverage of the MCS age 14 time-use diary so as to maximise benefit to the research community and minimise non-response due to respondent burden.
This major ESRC project addressed the role of schooling in determining educational attainment, occupational outcomes and social mobility.
Using linked data from the Millennium Cohort Study (MCS), this project examined patterns of non-consent and non-coverage, and identified weighting and imputation techniques that can adjust for biases.
This project investigated the impact of new childcare policies on children’s cognitive and social development.
Evidence from the #1970BritishCohortStudy has shown that although men’s and women’s wages became more equal for… https://t.co/m5sIi0YM4p
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Our bibliography is a searchable database of published work based on our cohort studies. Search by keyword, author, date range and journal.
Data from our studies are mainly available through the UK Data Service. We run training to support researchers who are interested in using our studies in their work.
Centre for Longitudinal Studies
UCL Social Research Institute
20 Bedford Way
London WC1H 0AL
Email: clsfeedback@ucl.ac.uk
