Training and support

Raising awareness of our studies, and helping researchers to develop their knowledge and skills to use the study data in their work, is an important part of what we do.

We run a wide range of training events and webinars to help new and existing users learn more about our longitudinal studies and how to use them. To find out about upcoming training, head to our events page.

You can watch our most recent webinars, which introduce the latest data, innovations and findings from our four cohort studies below. Check out the CLS YouTube channel for more content.

Outputs

Online training

COVID 19 Survey in Five National Longitudinal Studies

On 6 August 2020 we presented an online training session to support researchers wishing to use data from our recent COVID 19 wave 1 survey. The recordings are now available as a resource. For further information on our COVID-19 survey please see our COVID 19 survey homepage.

1/4 COVID 19 Survey in Five National Longitudinal Studies – Introduction to the data collection
(2020, 11 minutes)
This session introduces the COVID 19 Survey in Five National Longitudinal Studies to data users.
Presenter: Alissa Goodman, Director of the Centre for Longitudinal Studies (CLS).

2/4 COVID 19 Survey – Derivation and implementation of non-response weights
(2020, 32 minutes)
This session looks at derivation and implementation of non-response weights in data from wave 1 of the COVID 19 survey.
Presenter: Richard Silverwood, Associate Professor, Centre for Longitudinal Studies (CLS).

3/4 COVID 19 Survey – Mental health
(2020, 25 mins)
This session looks at mental health questions and findings in wave 1 of the COVID 19 survey.
Presenter: Praveetha Patalay, Associate Professor, Centre for Longitudinal Studies (CLS).

4/4 Time use variables in COVID 19 survey – Study example on parental time use during lockdown
(2020, 26 mins)
This session looks at parental time use variables in wave 1 of the COVID 19 Survey.
Presenter: Aase Villadsen, Research Associate, Centre for Longitudinal Studies (CLS).

Outputs

Introductory webinars

An introduction to our cohorts

1958 National Child Development Study and 1970 British Cohort Study
(2018, 73 minutes)
Presenter: Brian Dodgeon, Research Fellow, Centre for Longitudinal Studies (CLS).

Next Steps Study
(2017, 15 minutes)
This webinar introduces data users to the Next Steps study and gives an overview of the Age 25 Sweep content. It also covers the data and documentation, and survey design and weights.
Presenter: Lisa Calderwood, Professor, Centre for Longitudinal Studies (CLS).

Millennium Cohort Study
(2017, 20 minutes)
This webinar introduces data users to the Millennium Cohort Study. It also gives an overview of the Age 14 Sweep, including sessions on survey content, data and documentation, and non-response.
Presenter: Vanessa Moulton, Research Associate, Centre for Longitudinal Studies (CLS).

Outputs

Webinars

Special topics

1970 British Cohort Study: Introduction to the Age 46 Sweep
(2019, 42 minutes)
This webinar introduction to the 1970 British Cohort Study Age 46 Sweep covered: data collection, content, and emerging findings.
Presenters: Matt Brown, Senior Survey Manager, Centre for Longitudinal Studies (CLS) and Ellen Thompson, Research Associate, Centre for Longitudinal Studies (CLS).

Watch on the CLS YouTube channel

Millennium Cohort Study: Time use diaries and accelerometry data
(2018, 44 minutes)
Presenter: Vanessa Moulton, Research Associate, Centre for Longitudinal Studies (CLS)
This webinar  gives data users an overview of the time use diaries and accelerometry data collected during the Millennium Cohort Study Age 14 Sweep.

Watch on the CLS YouTube channel

Outputs

Webinars

Video tutorials

Accessing data from the UK Data Service
(2017, 11 minutes)
In this video tutorial, we explain how to download data from the UK Data Service, using the 1958 National Child Development Study as an example.
Presenter: Brian Dodgeon, Research Fellow, Centre for Longitudinal Studies (CLS).

Contact us

Centre for Longitudinal Studies
UCL Social Research Institute

20 Bedford Way
London WC1H 0AL

Email: clsfeedback@ucl.ac.uk