Getting started: An introduction to four British cohort studies

15 Nov 2023
Webinar

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.

About the event

The UK’s cohort studies have followed generations of Britons over the course of their lives, collecting a broad range of data over time and across different domains of life.

These studies are powerful resources for addressing a wide range of scientific questions across social, economic, health, political and geographical sciences.

This webinar is particularly suitable for Masters or PhD students interested in using the cohorts for a dissertation or thesis, as well as researchers in academia or the third sector new to the cohort studies.

It introduces new users to four national cohort studies managed by CLS:

Session details

Date: This webinar took place on Wednesday 15 November 2023.
Format: MS Teams
Programme outline

Part 1: What are cohort studies?

  • What are birth cohort studies?
  • Overview of NCDS, BCS70, Next Steps and MCS
  • Type of information collected

Part 2: Content by ‘subject area’

  • Physical health
  • Mental health
  • Family and relationships
  • Education
  • Economics

Part 3: Overview of the type of analysis

  • Simple analyses
  • Confounder control
  • Repeated measures
  • Cross-cohort analysis

Part 4: Getting started with the data

  • Available resources
  • Accessing the data
  • Data protocols, structure and merging
  • Study design and weights
  • Dealing with attrition
  • Where to go for more information
CLS presenters

Vanessa Moulton, Senior Research Associate
Morag Henderson, Professor in Sociology
Richard Silverwood, Associate Professor and Chief Statistician

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Contact our Communications Team

Event enquiries

Richard Steele
Events and Marketing Officer

Phone: 020 7911 5320
Email: ioe.clsevents@ucl.ac.uk

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Centre for Longitudinal Studies
UCL Social Research Institute

20 Bedford Way
London WC1H 0AL

Email: clsdata@ucl.ac.uk

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