Abstract

Eisenack, K., S. Villamayor-Tomas, G. Epstein, C. Kimmich, N. Magliocca, D. Manuel-Navarrete, C. Oberlack, M. Roggero, and D. Sietz. 2019. Design and quality criteria for archetype analysis. Ecology and Society 24(3):6. https://doi.org/10.5751/ES-10855-240306

Highlights

  • Natural resources and the environment continue to degrade all over the globe, even though we have known about these problems for decades

  • We propose four quality criteria and corresponding research strategies to address them: (1) specify the domain of validity for each archetype, (2) ensure that archetypes can be combined to characterize single cases, (3) explicitly navigate levels of abstraction, and (4) obtain a fit between attribute configurations, theories, and empirical domains of validity

  • A fit between configurations of attributes, empirical evidence, and theories can be sought for at each level to find out which level balances generalization and ideographic concreteness to provide the most useful number of insightful archetypes with respect to the research question, available data, and the kind of institutional arrangements or level of decision making that the analysis aims to inform

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Summary

Introduction

Natural resources and the environment continue to degrade all over the globe, even though we have known about these problems for decades. Many scholars and experts emphasize the need for inter- or transdisciplinary approaches and methodological pluralism to address this challenge (e.g., Poteete et al 2010, Ruppert-Winkel et al 2015, Karpouzoglou et al 2016, Defila and Di Giulio 2018). Those approaches, frequently suffer from inconsistent quality criteria (Defila and Di Giulio 2015, Belcher et al 2016). Researchers currently face a lack of standard research designs and quality criteria Such criteria would help to address common methodological challenges when designing and conducting archetype analyses. We aim to contribute to the development of quality criteria to guide researchers applying diverse theories and methods when they design future archetype analyses

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