Q sort response data on stakeholder discourse and opinion towards a non-native lizard species (Podarcis muralis)
bibliographic citation: Williams, R., Dunn, A., Quinn, C., Hassall, C. (2019). Q sort response data on stakeholder discourse and opinion towards a non-native lizard species (Podarcis muralis). NERC Environmental Information Data Centre. https://doi.org/10.5285/a9c314d8-8a87-4992-9677-d9705c380f10
description: This dataset contains response data from Q sort exercises investigating attitudes towards non-native lizards in the UK conducted in 2017-18. Data have been collected using standard Q method techniques for combined qualitative and quantitative investigation into subjective viewpoints surrounding a research topic. The data provided are the final Q sort arrangements obtained from participants and provide the basis for further factor analysis.
provenance: ProvenanceStatement
  label: The Q set was developed from statements generated from several sources in direct response to (or pertaining to) the open question of ‘Do you have any thoughts or feelings about the presence of wall lizards in the UK?’ A total of 128 statements were collected, at which point no further original opinion/sentiment was found. A review process to fine tune the final Q set (in terms of reduction in number of statements and maintenance of plain language) was then undertaken. This revision process resulted in the construction of a final Q set consisting of 76 statements that provided a comprehensive and balanced coverage of the study topic. Twenty-six participants across seven stakeholder groups took part in the Q sorts in the summer of 2017. The Q sort was administered either in person or online.
temporal: PeriodOfTime
  start date: 2017-01-01
  end date: 2018-12-31
publisher: NERC Environmental Information Data Centre
subject: Invasive species
subject: Invasive non-native species
subject: wall lizard
subject: Q methodology
type: Dataset
available: 2019-03-04
landing page: https://doi.org/10.5285/a9c314d8-8a87-4992-9677-d9705c380f10
license: OGL-UK-3.0.ttl
rights: RightsStatement
  copyright notice: copyright Natural Environment Research Council
access rights: UNRS
theme: Invasive species
distribution:
  access URL: https://data-package.ceh.ac.uk/data/a9c314d8-8a87-4992-9677-d9705c380f10
  license: OGL-UK-3.0.ttl
  rights: RightsStatement
    copyright notice: copyright Natural Environment Research Council
  access rights: UNRS
  format: Comma-separated values (CSV)
creator: Williams, R.
creator: Dunn, A.
creator: Quinn, C.
creator: Hassall, C.
language: en

Williams, R.
type: Person
family name: Williams
given name: Robert
member: University of Leeds

NERC Environmental Information Data Centre
type: Organization

Williams, R.
type: Person
family name: Williams
given name: R.
member: University of Leeds

Dunn, A.
type: Person
family name: Dunn
given name: A.
member: University of Leeds

Quinn, C.
type: Person
family name: Quinn
given name: C.
member: University of Leeds

Hassall, C.
type: Person
family name: Hassall
given name: C.
member: University of Leeds

Invasive species
type: Concept

University of Leeds
type: Organization