Forthcoming ESDS Government events
Introduction to the Expenditure and Food Survey
Thursday 19 June 2008
Kantorovich Building, Humanities Bridgeford Street, University of Manchester
This meeting is designed to provide an overview of the Expenditure and Food
Survey (EFS), including its diary and food sections, and some examples of
research applications. The workshop sessions will provide an opportunity to
gain hands-on familiarity with the data. It will be particularly valuable
for new users.
To view the programme and book a place please go to
http://www.ccsr.ac.uk/esds/events/2008-06-19/
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Introduction to government microdata: focus on consumption
Wednesday 30 April 2008
Methods and Data Institute, Nottingham University
Our roles as consumers and our patterns of consumption are central to who we
are, what we do and our consumer society. ESDS Government surveys allow
researchers to look at many different areas of consumption, for example,
health and consumption (lifestyle factors such as eating, drinking, smoking,
exercise) and environmental consumption (the products we consume and our
choices of transportation).
This introductory seminar is aimed at those with little or no experience of
microdata from government surveys, or those with some experience of these
surveys who require an introduction to the consumption content of the datasets.
To view the programme and book a place please go to
http://www.ccsr.ac.uk/esds/events/2008-04-30/
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Family Resources Survey user meeting
Friday 25 April 2008
Royal Statistical Society, London
This meeting will provide a forum for the exchange of information and views
between users and producers of the Family Resources Survey.
To view the programme and book a place please go to
http://www.ccsr.ac.uk/esds/events/2008-04-25/
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New ESDS Government guide
ESDS Government has produced a new guide, Working with survey files: using
hierarchical data, matching files and pooling data, which can be found at
http://www.esds.ac.uk/government/resources/analysis/.
This guide introduces the concepts of units of analysis and hierarchical
data. It explains procedures in SPSS and Stata that can be used to work with
datasets with different levels of hierarchy within single files, as well as
how to combine files where different levels of hierarchy are stored across
multiple files (i.e. a ‘database’ of data ‘tables’). Other related
procedures considered include how to combine files to increase sample sizes.
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