Quantifying Human Subjectivity Using Q Method: When Quality Meets Quantity

Kamal, Sristi; Kocór, Marcin; Grodzińska‐Jurczak, Małgorzata

doi:10.18778/1733-8077.10.3.03

Cited by 24 publications

(7 citation statements)

References 21 publications

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“…Q‐analysis has become an increasingly important analytical technique for exploring qualitative personal opinions or categorically ranked expressions by individuals on a range of distinct items (see, e.g., McKewon & Thomas, 2013; Kamal et al, 2014; Moon & Blackman, 2014; Ramlo, 2015; Stephenson, 1953; Webler et al, 2009; Watts & Stenner, 2012). Applications in the regional science field can inter alia be found in Dentinho et al (2021), Fuentes‐Sanchez et al (2021), and Nijkamp et al (2023).…”

Section: Results Of a Q‐analysis Of Knowledge Priority Views Of Ukrai...mentioning

confidence: 99%

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Regional science knowledge needs for the recovery of the Ukrainian spatial economy: A Q‐analysis

Pascariu

Nijkamp

Kourtit

2023

Regional Science Policy & Practice

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The Russian invasion in Ukraine prompts a range of policy and research challenges, not only on geopolitical issues but also on knowledge capital that is needed for a sustainable reconstruction of Ukraine. This paper seeks to sketch the desired or necessary regional science expertise during the recovery stage of this country (‘prosilience’), after a peace agreement has been settled. Based on a systematic interview and questionnaire exercise among Ukrainian experts and stakeholders on regional science matters, the study aims to map out regional science knowledge needs and related initiatives that will have to be materialized with priority in the Ukrainian spatial economy during its post‐war recovery stage. To that end, the study employs a Q‐analysis for examining the strategic research opinions of Ukrainian stakeholders to pave the road for scientifically supported redevelopment strategies. Our results show that regional science can play an important role in the geopolitical conflict in Ukraine, during and after the war.

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Section: Results Of a Q‐analysis Of Knowledge Priority Views Of Ukrai...mentioning

confidence: 99%

“…Relevance of activities in research and capacity building. Kamal et al, 2014;Moon & Blackman, 2014;Ramlo, 2015;Stephenson, 1953;Webler et al, 2009;Watts & Stenner, 2012). Applications in the regional science field can inter alia be found in Dentinho et al (2021),…”

Section: Research Internshipsmentioning

confidence: 99%

Regional science knowledge needs for the recovery of the Ukrainian spatial economy: A Q‐analysis

Pascariu

Nijkamp

Kourtit

2023

Regional Science Policy & Practice

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“…Therefore, a range of methods is applicable for supporting decision-making processes. We chose to work with Q method, as it combines quantitative and qualitative techniques, and therefore enables analyses that go beyond surveys (Kamal, Kocór & Grodzińska-Jurczak 2014) or Likert formats (Cross 2005;Fluckinger & Brodke 2013).…”

Section: Discussionmentioning

confidence: 99%

The Q approach to consensus building: integrating diverse perspectives to guide decision-making

Geschke¹,

Urbach²,

Prescott³

et al. 2022

Preprint

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1. Decision-making processes are complex and time-intensive, particularly when a consensus needs to be achieved amongst more than two parties. Discussions and negotiations must consider all relevant stakeholders and their individual perspectives on the decision to be taken. Methods for identifying, understanding, and acknowledging divergent perspectives can support successful consensus building. A tool pointing to those perspectives that have a consensus is missing though.2. Here, we propose a policy support tool to statistically guide the processes of consensus building around sets of goals or statements, using the Q method. Priority rankings of the goals or statements are used to analyze group perspectives. Our Q approach then expands Q method by consolidating the group perspectives and producing a novel consensus priority score indicating the level of consensual preference or priority for each goal or statement.3. We demonstrate the applicability of our Q approach in a hypothetical prioritization example involving the Sustainable Development Goals (SDGs). Although all 193 United Nation’s member states have agreed upon the 17 SDGs, the implementation of sustainable development measures often requires the prioritization of one or more goals. In the example, we use 40 individual stakeholder perspectives to identify which SDGs should be prioritized to successfully achieve the 2030 Agenda. This is, to satisfy most of the 40 people the best way possible, SGDs 4, 8, and 3. It is important to note that every individual perspective matters.4. The Q approach to consensus building provides a transparent and replicable method to calculate consensus priority scores for goals or statements of interest and identify those that have medium to high consensus. The approach can be applied to a wide range of situations where diverse perspectives and objectives need to be reconciled and synthesized at a range of scales. It can thereby be applied in consensus building processes from subnational to international levels.

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“…This allows for exploring 'correlations between persons or whole aspects of persons' (Stephenson, 1936, p. 345). Q then is an inverted qualiquantological method (Stenner and Rogers, 2004) that statistically quantifies individuals' subjectivity and offers in-depth qualitative descriptions (Kamal et al, 2014). Q is typically used to reveal the different social perspectives on an issue (Webler et al, 2009).…”

Section: Methodsmentioning

confidence: 99%