Published on 01 January 2010 |
Northern Ireland Social Attitudes and Life and Times Combined Dataset, 1989-2009
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The <i>Northern Ireland Social Attitudes and Life and Times Combined Dataset, 1989-2004</i> is a derived dataset providing information on social attitudes in Northern Ireland, focusing mainly on community relations and political issues, and allowing analysis across time. It pools data from the following four sources: <ul><li><a href="http://www.data-archive.ac.uk/findingData/nisasTitles.asp" title="Northern Ireland Social Attitudes Surveys"><i>Northern Ireland Social Attitudes Surveys, 1989-1996</i></a> (NISA) (held at the UK Data Archive under GN 33235. This series finished in 1996.)</li><li><a href="http://www.data-archive.ac.uk/findingData/niltTitles.asp" title="Northern Ireland Life and Times Surveys"><i>Northern Ireland Life and Times Survey</i></a> (NILT) (held at the Archive under GN 33312. This dataset uses data from the 1998-2009 surveys, but the NILT series is still ongoing.)</li><li><i>Northern Ireland Referendum and Election Study, 1998</i> (held under SN 5442)</li><li><i>Northern Ireland Assembly Election Study, 2003</i> (held under SN 5394)</li></ul>Further information about the combined dataset, including some tables of results and links to other surveys not held at the Archive are available on the ARK <a href="http://www.ark.ac.uk/sol/surveys/community_relations/time_series/" title="Surveys Online (SOL) Community Relations and Political Attitudes, 1989-2009">Surveys Online (SOL) Community Relations and Political Attitudes, 1989-2009</a> web pages. <br> <br> No specific documentation exists for this dataset. Users are advised to consult the original documentation for the NISA and NILT series, and to check the ARK web pages linked above.<br> <br> The first edition of this study contained data from 1989-2004. For the second edition (August 2010), data from 2005-2009 have been added.<br>
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Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
30%
Source
Scholar Data Model