Saunders, Clare and Price, Stephan and Hinchliffe, Stephen and McDonald, Robbie
(2017).
Doing TB Differently (Part 3): Q Methods data.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-852114
Our research will be guided by three research questions:
How does the character of the acute conflict (characterised, in this case, by controversial field culls of badgers combined with the deliberately narrow remit of an Independent Expert Panel) reveal key fracture points in the debate? (1) What is the scope for reducing conflicts and overcoming fracture points through social science led forms of interventions?
(2) Can a social science-led intervention translate into broader policy change? (3) These questions will be addressed from several angles. We will collect field observations and develop and analyse an archive of film evidence recording interactions between and among pro-and anti- culling groups, cull contractors, companies, farmers and police officers as culling is being undertaken. A sample of people from each of these groups will be approached for in-depth interviews.
Data will also be generated from social- and mass-media. An online deliberative forum will be used to understand the types of argumentation deployed on all sides of the debate. This will inform a Q-set (a set of key arguments used in the debate) that will be used to test the views of participants in deliberative forums before and after they participate in two deliberative events. These professionally facilitated deliberative forums will seek to negotiate a workable compromise for future TB policy. Q-methodology will allow us to assess the extent to which social science-led deliberative forums have been able to reduce key fracture points in the conflict. Finally, we will run focus groups with key policy makers assessing the utility of our approach for informing policy and the possibility of our findings shaping TB policy.
Data description (abstract)
Q Methods data consists ranked sets of statements on a given topic. These data were collected directly before and after the respondents took part in a five-day online discussion forum about bovine TB and the culling of badgers. At Time 1 there were 144 respondents and 86 at Time 2. The respondents also responded to a limited set of survey questions.
Note that there are three other collections associated with this research(please see Related Resources for links):
852112: Doing TB Differently: Online forum scripts
852115: Doing TB Differently: Stakeholder dialogue workshop
852116: Doing TB Differently: Interview transcripts
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Saunders Clare |
University of Exeter |
http://orcid.org/0000-0003-4995-4967
|
Price Stephan |
University of Exeter |
|
Hinchliffe Stephen |
University of Exeter |
|
McDonald Robbie |
University of Exeter |
|
|
Sponsors: |
ESRC
|
Grant reference: |
ES/L008106/1
|
Topic classification: |
Natural environment Politics
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Keywords: |
bovine tuberculosis, badger culling, Q Methodology, online methods
|
Project title: |
Doing TB differently: Generating a workable TB policy during an acute episode within a chronic countryside conflict
|
Grant holders: |
Clare Saunders, Steve Hinchliffe, Robbie McDonald
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Project dates: |
From | To |
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21 October 2013 | 20 April 2015 |
|
Date published: |
25 May 2016 12:38
|
Last modified: |
06 Apr 2017 11:25
|
Collection period: |
Date from: | Date to: |
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27 June 2014 | 18 July 2014 |
|
Geographical area: |
Participats in the online forum were recruited from the South and West of England, ie, from within the High Risk and Edge areas of the cuntry in terms of bovine TB risk |
Country: |
United Kingdom |
Data collection method: |
These data were gathered using Q Methodology (see Watts and Stenner 2012 for further details)
The concourse was derived from a series of interviews with a wide range of actors involved in the debate about bovine TB and the culling of badgers during the first year of the trial culls in West Gloucestershire and West Somerset in 2013.
The Q set consisted of 34 statements selected and adapted from the concourse to represent the range of themes within it.
Using an online interface, respondents were asked to sort these statements according to the extent to which they agreed or disagreed with them. These statements were sorted onto a -4 to +4 Q grid with columns of depth 2, 3, 4, 5, 6, 5, 4, 3, 2. |
Observation unit: |
Text unit |
Kind of data: |
Numeric |
Type of data: |
Other surveys, Qualitative and mixed methods data |
Resource language: |
English |
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Rights owners: |
|
Contact: |
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Publisher: |
UK Data Archive
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Last modified: |
06 Apr 2017 11:25
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Available Files
Data and documentation bundle
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