2009
DOI: 10.1016/j.ecolind.2008.12.011
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Evaluation of the Q-method as a method of public participation in the selection of sustainable development indicators

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Cited by 77 publications
(45 citation statements)
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“…Although the method is straightforward, the research design and the initial stages of the method are time-consuming and laborious (Frantzi et al, 2009;Guimaraes, 2009). In addition, while Q-methodology has the benefit of providing statistically significant results without requiring a large sample population, a small sample size can also mean that the results cannot be seen as statistically representative of the whole population (Doody et al, 2009). However, while it cannot be used to determine exactly what proportion of the population hold a particular view, Q-methodology provides an accurate reflection of the different perspectives that exist within the population and the differences that exist between stakeholder groups (Urquhart et al, 2012).…”
Section: Methodsmentioning
confidence: 99%
“…Although the method is straightforward, the research design and the initial stages of the method are time-consuming and laborious (Frantzi et al, 2009;Guimaraes, 2009). In addition, while Q-methodology has the benefit of providing statistically significant results without requiring a large sample population, a small sample size can also mean that the results cannot be seen as statistically representative of the whole population (Doody et al, 2009). However, while it cannot be used to determine exactly what proportion of the population hold a particular view, Q-methodology provides an accurate reflection of the different perspectives that exist within the population and the differences that exist between stakeholder groups (Urquhart et al, 2012).…”
Section: Methodsmentioning
confidence: 99%
“…A good indicator should reduce the complexity of the assessment of the studied system [48]. In agricultural assessments, for example, the uncertainty of weather and climatic conditions plays an essential role in business performance, adding extra complexity to sustainability assessments when compared with many other types of individual business organisations.…”
Section: The Complexity Of Selecting "Good Indicators"mentioning
confidence: 99%
“…Finally, 40 items are selected in the final Q sample for this study. This number was chosen on the basis of having a sufficient number of items in the Q-sorts so as to reflect the full spectrum of opinions collected from the focus groups, which avoided burdening participants with a prohibitive number of items to sort through [52]. The detailed information of the Q sample is presented in Appendix.…”
Section: Development Of Q Samplementioning
confidence: 99%