Next Steps at 32: explore the new data

Date:

06/03/2025

Organised by:

UCL Centre for Longitudinal Studies

Presenter:

Prof Morag Henderson, Director of Next Steps Study

Level:

Entry (no or almost no prior knowledge)

Contact:

Richard Steele
ioe.clsevents@ucl.ac.uk

video conference logo

Venue: Online

Description:

The Next Steps age 32 data release includes information collected from more than 7,200 study participants. It provides valuable up-to-date insights into many aspects of their lives, including their experiences of a pandemic and cost-of-living crisis.

This webinar will give attendees an excellent introduction to the new data, the wide range of questions they can help answer, and the opportunities for longitudinal research using the data captured over time.

What’s covered in the event?
> An overview of the topics captured in the Age 32 Sweep of data collection, including mental health and wellbeing, physical health, work employment resources, and family and relationships.
> A description of the special features of the data, including an overview of geospatial data, genetic data and linked administrative data
> Highlights key features of the sample design and weights
> A summary of the data structure, documentation and access
> A spotlight on initial findings from the Age 32 sweep, including worklessness and the gender pay gap.

Who should attend?
This webinar will be useful to anyone with an interest in the experiences of the millennials and how their lives compare to previous generations.

Why take part?
> Discover what’s new in the data at age 32.
> Learn how to access the data.
> Discover key findings and gain inspiration for your own research.
> Receive expert guidance on using the data effectively.
> Understand how to navigate available resources and get support.

Cost:

Free

Website and registration:

Register for this course

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Data Collection, Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis


Related publications and presentations from our eprints archive:

Frameworks for Research and Research Designs
Data Collection
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis

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