Scottish Longitudinal Study
Development & Support Unit
Celebrating a Decade of Research with the SLS
The Scottish Longitudinal Study Development and Support Unit (SLS-DSU) has been supporting research projects for 10 years and to mark this achievement there will be a celebratory event on Thursday 7th December 2017.
The event will showcase a selection of the many research projects which have been supported by the SLS-DSU spanning the whole decade.
For more info and to book a place, visit the Event page
New 1936 Birth Cohort Study available to researchers
The SLS Birth Cohort of 1936 (SLSBC1936) is now available to external researchers. This cohort links SLS member present in the Scottish Mental Survey of 1947 (a cognitive ability test that included almost all Scottish children born in 1936) with the SLS. The outcome of the project is a powerful life course dataset containing information from childhood to old age.
See the blog for more details.
SLS research to feature at forthcoming AQMeN seminar
SLS research by Prof Cristina Iannelli is to feature in a forthcoming seminar hosted by AQMeN and The Scottish Government Education Analysis Division. Prof Iannelli’s research explored the role of subject choices in secondary education on further education studies and labour market outcomes – you can find out more about the project and links to slides and outputs from the SLS project page
The forthcoming seminar on Mon 13th June is entitled “The Future of Education Data in Scotland” and will cover data from pre-school to higher education. It offers an opportunity to see how others have used education data in their work, to find out what data is available and how to request access and to consider how the rich store of data available could be used for research and for improvement.
To find out more about the event and book a place visit the Eventbrite page.
CALLS Hub Research Brief 3 now published: Long term health and socioeconomic outcomes for NEETs
The latest CALLS Hub Research Brief is now available, and was written by Zhiqiang Feng and colleagues from SLS-DSU. The brief summarises work from research commissioned by the Scottish Government on risk factors and outcomes for young people not in education, employment or training (NEET).
“In this project we explore consequences and risk factors of young people not in education, employment or training (NEET) over the past two decades. The project uses the Scottish Longitudinal Study (SLS) which links anonymised individual records from the 1991, 2001 and 2011 Censuses and a wide range of data from administrative sources. We find that being NEET is associated with adverse socioeconomic and health outcomes over the following 20-years. Individual, family, school and area-level factors are found to predict the likelihood of being NEET.”
UK LS Roadshow research presentations available to download
Research presentations from our UK LS Roadshows are now available to download! Keep an eye on our Twitter feed for announcements about our Welsh Roadshow event coming early next year.
- Protective effects of nurses’ health literacy: evidence from the Scottish Longitudinal Study (Dr Ian Atherton, Edinburgh Napier University)
- NEETs in Scotland: a longitudinal analysis of health effects of NEET experience (Dr Zhiqiang Feng, University of Edinburgh)
- Population Ageing in Scotland: Implications for Healthcare Expenditure Projections (Dr Claudia Geue, University of Glasgow)
- How spatial segregation changes over time: sorting out the sorting processes (Prof Nick Bailey, University of Glasgow)
- Using the Scottish Longitudinal Study to analyse social inequalities in school subject choice (Prof Cristina Ianelli, University of Edinburgh)
- Inequalities in young adults’ access to home-ownership in Scotland: a widening gap (Prof Elspeth Graham, University of St Andrews)
- Family size and educational attainment in England and Wales (Prof Tak Wing Chan, University of Warwick)
- Overall and Cause-specific Mortality differences by Partnership status in 21st Century England and Wales (Sebastian Franke, University of Liverpool)
- Ethnic differences in intragenerational social mobility between 1971 and 2011 (Dr Saffron Karlsen)
Scottish Herald picks up on SLS NEETs project
The Scottish Herald today posted an article on the final report of the SLS project “Risk factors and consequences of young people not in education, employment or training (NEET)” which was presented to the Scottish Government. Zhiqiang Feng and his team found that being NEET after leaving school was a strong predictor for poorer health and unemployment 10 years later.
Zhiqiang also presented his findings at our recent Scottish Roadshows, and you can download his slides.
UK LS Roadshow 2015!
This year, CALLS Hub is hosting a series of Roadshows across the country to reach out to potential new LS users. Come along and find out more about our work, hear researchers share their results and speak to members of all three RSU teams!
For more info and to book tickets:
- Mon 26th October, Aberdeen
- Wed 28th October, Glasgow
- Tues 10th November, Bristol
- Jan 2016, Wales (details to follow)
Synthetic ONS LS spine data now available!
We are very excited to announce that the first LS synthetic spine is now available to download! This allows you to try out using data which closely resembles the actual ONS LS data before making an application.
Find out more about the Synthetic Data project and download the data – plus a practical exercise to get you started – on our information page. (download link near bottom of page)
NOTE: this is not actual ONS LS data and should not be used as such
ONS LS and SLS dictionaries updated
We are pleased to announce that the ONS LS and SLS dictionaries have now been updated to their latest versions in our online searchable database. This means you can now search for 2011 variables for both Studies.
SLS researchers should note that a new application form is now available from the SLS guidance pages.
New version of R package ‘synthpop’ now available
A new version of the R package ‘synthpop’ (1.1-0) – developed by the SLS-DSU team for generating synthetic versions of sensitive microdata for statistical disclosure control – is now available on CRAN. There have been a few improvements and bug fixes which are described in the NEWS file.
Please note that period.separated or alllowercase naming convention has been adopted and you will have to update some parameter names in your code in case you are using them (see the NEWS file). If you are new to the package, you might want to read an updated vignette with a worked example.
See our Guides and Resources section for more information on Synthetic LS data.