Datasets
The Australian Policy Agendas Project collects and organizes data on Australian legislation, executive speeches, opposition questions, public opinion, media coverage, and High Court decisions. Some details are listed below. Data is forthcoming.
Decisions of the High Court of Australia
This dataset contains information on every case decided by the High Court of Australia between the years 1970 and 2015. Cases serve as the unit of analysis. Each case was coded in terms of its policy content and several other variables controlling for the nature of the case and the nature of the court. In coding for policy content, we utilized the Comparative Agendas Project’s topics coding scheme, where each case was assigned both a major topic and a sub topic depending on its policy content. A full description of these categories and their corresponding codes may be found in the codebook.
Sydney Morning Hearld - Front Page Articles
This dataset contains information on each article published on the Sydney Morning Herald's front page for each day from 1990 through 2015. Front page articles serve as the unit of analysis. Each article was coded in terms of its policy content and other variables of interest controlling for location, political context, and key actors. In coding for policy content, we utilized the Comparative Agendas Project’s major topics coding scheme, where each article was assigned a major topic code. A full description of the policy content categories and their corresponding codes may be found in the major topics codebook.
Media
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Media: The Australian Newspaper
The aim of this exercise is to code front-page news articles from The Australian newspaper. These articles can be accessed via Lexis Nexis Academic Archive. Please follow the link below, and then click the link to the ‘All News’ section on the webpage: http://www.lexisnexis.com.ezp.lib.unimelb.edu.au/hottopics/lnacademic/?
This dataset is not available in the trends tool.
download dataset
download codebook
Parliamentary & Legislative
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Legislation
Coding of legislation was based largely on information from the ComLaw website — a comprehensive online database of Australian legislation.
This dataset is not available in the trends tool.
download dataset
download codebook
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Opposition Questions
The aim of this exercise is to code questions asked by MPs in the House of Representatives during the Questions without Notice session which takes place most days parliament sits. You can find the questions via http://www.aph.gov.au/Parliamentary_Business/Hansard/Hansreps_2011
This dataset is not available in the trends tool.
download dataset
download codebook
Explore Policy Trends
Dr. Keith Dowding (ANU), Dr. Aaron Martin (Melbourne), and Dr. Rhonda Evans (UT-Austin) lead the Australian Policy Agendas Project.
Dr. Dowding and Dr. Martin coded legislation, executive speeches, opposition questions, public opinion, and media data, and Dr. Evans collected data on decisions of the High Court of Australia as well as additional media data. Data is forthcoming.
Principal Investigator: Dr. Keith Dowding, Dr. Aaron Martin, Dr. Rhonda Evans
Location: Australian National University, University of Melbourne, The University of Texas at Austin
Email: keith.dowding@anu.edu.au; aaron.martin@unimelb.edu.au; revans@austin.utexas.edu
Sponsoring Institutions
Dr. Dowding and Dr. Martin’s research was funded by the Australian Research Council Discovery Award DP 110102622.
Dr. Evans’ research is funded by the Edward A. Clark Center for Australian and New Zealand Studies at The University of Texas at Austin.
Australian Policy Agendas
Featured Research:
Policy Agendas in Australia
Keith Dowding and Aaron Martin's Policy Agendas in Australia was published by Palgrave in 2017.
This book contributes to and expands on the major international Comparative Policy Agendas Project. It sets the project in context, and provides a comprehensive assessment of the changing policy agenda in Australia over a forty-year period, using a unique systematic dataset of governor-general speeches, legislation and parliamentary questions, and then mapping these on to ...
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