Exploring a Mixed Method Approach: Simulation Games and Q Methodology

Conference Paper (2019)
Author(s)

A.G.J. Kuijpers (TU Delft - Policy Analysis)

Heide Lukosch (University of Canterbury)

A. Verbraeck (TU Delft - Policy Analysis)

Research Group
Policy Analysis
Copyright
© 2019 A.G.J. Kuijpers, Heide Lukosch, A. Verbraeck
DOI related publication
https://doi.org/10.1007/978-3-030-34350-7_50
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 A.G.J. Kuijpers, Heide Lukosch, A. Verbraeck
Research Group
Policy Analysis
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
11899
Pages (from-to)
522-529
ISBN (print)
978-3-030-34349-1
ISBN (electronic)
978-3-030-34350-7
Reuse Rights

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Abstract

In this paper we explore the possibilities to combine two research methods we regard as being very useful when interacting with stakeholders in complex systems. We discuss a mixed research methods approach, based on the Q methodology and a simulation game. In a game design process, translating the real or reference system into the game design is an intricate process and rather challenging due to the complexity of today’s societal systems. As shown by various studies, different data techniques are proposed in order to translate reality aspects. One of the proposed data gathering techniques in combination with simulation games is Q methodology. Q methodology is a suitable method to retrieve social perspectives of stakeholders on a particular topic. Yet it is still elusive how the results of a Q methodology can be used in a game design process. In this paper, we explore the possibilities how to combine the two methods and how to translate the results of the Q analysis into a game design concept. In the context of a case within the domain of transport and logistics, we discuss how such mixed research methods approach could look like. We conclude with a future outlook on our research.

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