Doing TB Differently (Part 3): Q Methods data

DOI

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 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.

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.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-852114
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=65eff5838711bf16f980401da9ae0295eb36528a91ae922e36979422cbdcc1fe
Provenance
Creator Saunders, C, University of Exeter; Price, S, University of Exeter; Hinchliffe, S, University of Exeter; McDonald, R, University of Exeter
Publisher UK Data Service
Publication Year 2016
Funding Reference ESRC
Rights Clare Saunders, University of Exeter
OpenAccess true
Representation
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage 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; United Kingdom