Welcome to our news and blogs section. Here you’ll find the latest developments and insights from across our longitudinal studies.
Working women in their early 30s in England are paid less than men of the same age, in the same types of jobs, who have similar levels of education and work experience.
The trauma associated with care experience casts a long shadow on mothers’ mental health and that of their children, finds new UCL research released today (7 February 2024).
This webinar will highlight the genetic and epigenetic data available in our studies, and how to access them.
This webinar describes data on ageing and key life-course transitions using CLS cohort studies, and highlights future research opportunities.
This 90-minute session gives first-time users an overview of the 1958, 1970, Next Steps and millennium cohort studies – unique data resources available for researchers across the biomedical and social sciences.
An overview of the tools and strategies available to manage and visualise longitudinal cohort studies.
Being an only child doesn’t affect your development – family background matters more.
This webinar gives an overview of the data available on care and research opportunities in the four internationally-renowned cohort studies run by the Centre for Longitudinal Studies (CLS).
During this half-day in-person event attendees got an introduction to two new digital tools that were designed for researchers working with longitudinal data.
This short webinar explores the wide-ranging opportunities for mental health research using British cohort studies.
Generation Z children born into the poorest fifth of families in the UK are 12 times more likely to experience a raft of poor health and educational outcomes by the age of 17 compared to more affluent peers, finds a new report led by UCL researchers.
This short webinar gives first-time users and researchers less familiar with the Millennium Cohort Study (MCS) an insight into this unique longitudinal cohort dataset born at the turn of the century.
View this webinar to learn why principled methods of missing data handling are usually required to obtain unbiased estimates in long-running cohort studies, learn how to undertake such analyses, and observe a demonstration of how to do so in practice using Stata, with a focus on multiple imputation.
Ryan Bradshaw
Senior Communications Officer
Phone: 020 7612 6516
Email: r.bradshaw@ucl.ac.uk