Geographies and ecological variables in the Scottish Longitudinal Study (SLS)
Recent News
Upcoming Events
Sorry, there are currently no upcoming Events.
Feng, Z. (2013) SLS Technical Working Paper 5. Longitudinal Studies Centre Scotland: Edinburgh/St Andrews. 28 May 2013. [SLS]
Other information:
Abstract:
The Scottish Longitudinal Study (SLS) is a large scale linkage study created from the linkage of data from routine administrative and statistical sources. These include Census data, vital events data (births, deaths, marriages), National Health Service Central Register (NHSCR) data (migration in or out of Scotland), NHS data (cancer registrations and hospital discharges), and education data (Hattersley & Boyle 2007; Boyle et al. 2009).
Geographical data are an integrated part of the SLS. All SLS data are coded onto a number of different geographies, including census, health and other administrative areas, at a range of spatial scales. These geographies relate to the geography existing at the time of the census, or the occurrence of a demographic event (e.g. birth). Geographies and ecological variables are essential not only for research on migration, but also for research on impacts of environmental and socio-economic contexts on individuals’ well-being. This working paper will introduce geographical data including geographical identifiers and ecological variables in the SLS.
Download output document: SLS Technical Working Paper 5 (PDF 1.5MB)
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
__utma | 2 years | Used to distinguish users and sessions. The cookie is created when the javascript library executes and no existing __utma cookies exists. The cookie is updated every time data is sent to Google Analytics. |
__utmb | 30 minutes | Used to determine new sessions/visits. The cookie is created when the javascript library executes and no existing __utmb cookies exists. The cookie is updated every time data is sent to Google Analytics. |
__utmc | Not used in ga.js. Set for interoperability with urchin.js. Historically, this cookie operated in conjunction with the __utmb cookie to determine whether the user was in a new session/visit. | |
__utmt | 10 minutes | Used to throttle request rate. |
__utmz | 6 months | Stores the traffic source or campaign that explains how the user reached your site. The cookie is created when the javascript library executes and is updated every time data is sent to Google Analytics. |
_ga | 2 years | Used to distinguish users. |
_gat | 1 minute | Used to throttle request rate. |
_gid | 24 hours | Used to distinguish users. |