In partnership with the What Works Centre for Wellbeing, the we hosted a one-day workshop exploring the ways in which data sourced from longitudinal birth cohort studies can be used to inform wellbeing research. Presentation slides and handouts from this workshop are available to download below.
Wellbeing research based on longitudinal data is able to provide invaluable insights into how we, as a society, can work together to improve our quality of life.
In addition to discovering what datasets and measures are currently available, delegates found out about the latest research, and gained a first-hand insight into how to use these datasets during a live methods and data demonstration.
What makes a successful life? – Nick Powdthavee (London School of Economics)
Effects of childhood bereavement on wellbeing – Alison Penny (National Children’s Bureau)
Correlates of child wellbeing – Praveetha Patalay (CLS and University of Liverpool)
Wellbeing research using the CLS cohorts – Alissa Goodman & Martina Narayanan (CLS)
Infographic: Children’s mental illness and wellbeing at age 11
Phone: 020 7612 6231
Alissa is Director of the Centre for Longitudinal Studies, leading the work of the Centre across all of its scientific and operational teams. Alissa is also Principal Investigator of the 1958 National Child Development Study (NCDS), leading the team responsible for developing its content, design and analysis.
Alissa is an economist whose main research interests relate to inequality, poverty, education policy, and the intergenerational transmission of health and well-being. In her previous employment, she served as deputy director of the Institute for Fiscal Studies.
Phone: 020 7612 6646
Martina contributes to several CLS research projects. At the moment, her main responsibilities cover the data preparation, analysis, and dissemination of findings for the “What Works for Wellbeing” and the “Using New Technologies for Qualitative Data” research programmes.
Martina’s general research interests include mental health and wellbeing over the life course, intergenerational associations and longitudinal data analysis.
Phone: 020 7911 5320