Webinar: Key data: UK and cross-national surveys
Date:
08/10/2020
Organised by:
UK Data Service
Presenter:
Jennifer Buckley
Level:
Entry (no or almost no prior knowledge)
Contact:
Gillian Meadows
Gillian.Meadows@manchester.ac.uk
Venue: Online
Description:
This introductory webinar is intended for anyone who wants to learn about the key survey datasets available from the UK Data Service which provide snapshots of the UK or that allow comparisons to be made across countries. The UK Data Service provides access to a wide range of survey series such as the British Social Attitudes Survey, the Labour Force Survey and the Health Survey for England. We also provide access to a number of cross-national surveys such as such as the Eurobarometer surveys and the European Election Studies. These surveys cover many topics and most of them can be downloaded after a short registration. They can be used for research or for teaching.
This webinar will cover:
- An overview of UK and cross-national microdata available from the UK Data Service
- Key features of some of our most commonly used surveys: Quarterly Labour Force Survey, British Social Attitudes Survey, Health Survey for England and the Eurobarometer surveys
- Access conditions and getting further help
The webinar will consist of a 30 minute presentation followed by 20 minutes for questions.
Presenter: Jennifer Buckley
Level: Introductory
Experience/knowledge required: None
Target audience: Researchers/anyone interested in survey or cross-national data
Recordings of UK Data Service webinars are made available on our YouTube channel and, together with the slides, on our past events pages soon after the webinar has taken place.
Cost:
Free
Website and registration:
https://www.ukdataservice.ac.uk/news-and-events/eventsitem/?id=5570
Region:
International
Keywords:
Data Collection, Data Quality and Data Management , Mixed Methods Data Handling and Data Analysis
Related publications and presentations:
Data Collection
Data Quality and Data Management
Mixed Methods Data Handling and Data Analysis