Online workshop: Introduction to the Labour Force Survey and Annual Population Survey

20 May 2021 12:00 am - 12:00 pm
Online
Training
Data skills
Other

Would you like to know more about using the Labour Force Survey (LFS) and Annual Population survey (APS) in research? This free half-day online workshop will give background information needed to work with LFS and APS data confidently. The workshop will be led by experts from the Office for National Statistics and the UK Data Service. It will include presentations and practical sessions along with opportunities to ask questions and meet other LFS and APS users. Topics will include the survey design, methodological considerations when using the data, how to navigate the documentation and the contents and structure of available datasets.

By the end of the session, attendees will

  • understand the survey design including sampling, methods of data collection and how the LFS has adapted due to COVID-19
  • have an overview of the strengths and weaknesses of the LFS and APS as a source of data
  • understand the different types of LFS/APS datasets available
  • be able to navigate and use the LFS documentation
  • know about using the weighting variables for different types of analysis
  • be familiar with the structure and contents of the datasets

This online workshop includes a practical data analysis session led in SPSS. To participate in this part, participants will need to have access to a computer with SPSS (or PSPP) installed. We will try to provide equivalent materials for other software (either before or after the event), if you would be interested in receiving these, please indicate which package on the registration form.

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.

This workshop is now fully booked but you can add yourself to the waiting list using the booking link below.

This site uses cookies

Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used.

For more detailed information please check our Cookie notice


Necessary cookies

Necessary cookies enable core functionality. This website cannot function properly without these cookies.


Cookies that measure website use

If you provide permission, we will use Google Analytics to measure how you use the website so we can improve it based on our understanding of user needs. Google Analytics sets cookies that store anonymised information about how you got to the site, the pages you visit, how long you spend on each page and what you click on while you’re visiting the site.