Welcome to our news and blogs. Here you’ll find the latest developments and insights from across our four longitudinal studies.
Up to one in five adults with a history of poor mental health reported they were ‘much worse off’ financially a year into the COVID-19 pandemic, compared to one in ten of those who had never had psychological problems in adulthood.
This project aims to examine the experiences of care leavers who became parents (of cohort members) and the intergenerational impact on their children’s outcomes.
This project aims to develop a conceptual and empirical understanding of social isolation across the life course and generate comparable measures across cohorts.
Research using data from the 1970 British Cohort Study (BCS70) has revealed how reading for pleasure can help children excel in English and maths. It has also shown that good reading habits in childhood have a significant longer term impact on people’s vocabulary, with the benefits being evident even 30 years later.
Looking after children’s and young people’s mental health is an urgent public health priority. Using data from the Millennium Cohort Study (MCS), CLS researchers and collaborators have investigated the prevalence of mental ill-health during childhood and adolescence.
This project aims to advance our understanding of whether Medically Assisted Reproduction (MAR) affects the wellbeing of families, and if so why. Using datasets from the Millenium Cohort Study, we analyse MAR’s effects on a large range of adults/child outcomes through innovative research designs.
This research project aims to investigates the consequences of growing up without siblings, particularly longer-term wellbeing and life chances.
This project aims to investigate the gender wage gap (GWG) over the life course and across cohorts, using three CLS studies – the National Child Development Study, 1970 British Cohort Study and Next Steps.
Our applied statistical methods research programme supports and enables users to tackle some of the important challenges in using longitudinal data, including handling missing data, making causal inferences, and dealing with measurement error. We bring together ideas and methods from a number of disciplines, such as statistics, econometrics, psychometrics, epidemiology and computer science.
Our studies are at the forefront of best practice internationally in a range of different areas relating to longitudinal survey methods, and are informed by the most up-to-date evidence available. We share our learning through publications, conferences presentations and our networks. We work closely with the UK survey agencies who carry out the data collection for our studies.
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