Bootstrapping Q Methodology to Improve the Understanding of Human Perspectives.

Q is a semi-qualitative methodology to identify typologies of perspectives. It is appropriate to address questions concerning diverse viewpoints, plurality of discourses, or participation processes across disciplines. Perspectives are interpreted based on rankings of a set of statements. These rankings are analysed using multivariate data reduction techniques in order to find similarities between respondents. Discussing the analytical process and looking for progress in Q methodology is becoming increasingly relevant. While its use is growing in social, health and environmental studies, the analytical process has received little attention in the last decades and it has not benefited from recent statistical and computational advances. Specifically, the standard procedure provides overall and arguably simplistic variability measures for perspectives and none of these measures are associated to individual statements, on which the interpretation is based. This paper presents an innovative approach of bootstrapping Q to obtain additional and more detailed measures of variability, which helps researchers understand better their data and the perspectives therein. This approach provides measures of variability that are specific to each statement and perspective, and additional measures that indicate the degree of certainty with which each respondent relates to each perspective. This supplementary information may add or subtract strength to particular arguments used to describe the perspectives. We illustrate and show the usefulness of this approach with an empirical example. The paper provides full details for other researchers to implement the bootstrap in Q studies with any data collection design

Diversity and constructive conflict in stakeholder dialogue: Considerations for design and methods

Diversity is generally recognized as a key issue for learning in stakeholder dialogue on wicked sustainability issues. Yet the question on how design of stakeholder dialogue and supporting methods actually enhance learning in stakeholder dialogue deserves more attention. This paper presents constructive conflict as a central design issue for stakeholder dialogue. This means that a dialogue entails the articulation of a diversity of perspectives and the confrontation of claims and ideas based on these perspectives. Building on three properties of diversity (variety, balance and disparity), the methodological implications of constructive conflict as a central design issue will be derived. These implications are structured according to three design steps: stakeholder identification and selection, articulation of perspectives and confrontation of claims and ideas. It is argued that social scientific methods are needed to support design of stakeholder dialogue. Q methodology is presented as an example that was used in a stakeholder dialogue on sustainable biomass in the Netherlands to identify stakeholder perspectives, to select stakeholders and to structure the dialogue. The paper wraps up with conclusions on constructive conflict as a design issue.Values and technologyTechnology, Policy and Managemen