Using Census Microdata
Date:
29/02/2012
Organised by:
NCRM, University of Southampton
Presenter:
Jo Wathan supports the Samples of Anonymised Records at the Centre for Census and Survey Research at the University of Manchester. She has been a member of the SARs team since 2001 where she has worked on setting up, documenting, supporting and promoting use of the SARs.
Rachel Stuchbury works within the Centre for Longitudinal Study Information and User Support (CeLSIUS) at the London School of Hygiene and Tropical Medicine. Where she is extending the distance-based learning and web resources and also provides advice and data extracts to users of the Longitudinal Studies.
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
Training Administrator
National Centre for Research Methods
University of Southampton
Tel: 023 8059 4069
Email: jmh6@soton.ac.uk
Map:
View in Google Maps (M13 9PL)
Venue:
Humanities Bridgeford Street Building
University of Manchester
Oxford Road
Description:
This event will provide users with an introduction to two types of census microdata; SARs data which takes a sample of census respondents at a single time and longitudinal data which follows a sample of respondents over time. During the day participants will hear about the unique and key features of the data, how they compare with other datasets, how they can used to answer research questions and get the opportunity to use both types of data in hands-on sessions.
Cost:
The fee is:
1. £30 - For UK registered postgraduate students
2. £60 - For staff at UK academic institutions, ESRC funded researchers and registered charity organisations
3. £220 - For all other participants
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Full refund will be given if cancellation occurs 1 month prior to the event. No refund is given after this date.
Website and registration:
http://store.southampton.ac.uk/browse/extra_info.asp?compid=1&modid=5&prodid=38&deptid=8&catid=23
Region:
West Midlands
Keywords:
Longitudinal Data Analysis
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