EISENACK, Klaus, Sergio VILLAMAYOR-TOMAS, Graham EPSTEIN, Christian KIMMICH, Nicholas MAGLIOCCA, David MANUEL-NAVARRETE, Christoph OBERLACK, Matteo ROGGERO and Diana SIETZ. Design and quality criteria for archetype analysis. Ecology and Society. Wolfville: Resilience Alliance, 2019, vol. 24, No 3, p. 1-12. ISSN 1708-3087. doi:10.5751/ES-10855-240306.
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Basic information
Original name Design and quality criteria for archetype analysis
Authors EISENACK, Klaus (276 Germany), Sergio VILLAMAYOR-TOMAS (724 Spain), Graham EPSTEIN (124 Canada), Christian KIMMICH (276 Germany, guarantor, belonging to the institution), Nicholas MAGLIOCCA (840 United States of America), David MANUEL-NAVARRETE (840 United States of America), Christoph OBERLACK (756 Switzerland), Matteo ROGGERO (276 Germany) and Diana SIETZ (276 Germany).
Edition Ecology and Society, Wolfville, Resilience Alliance, 2019, 1708-3087.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50704 Environmental sciences
Country of publisher Canada
Confidentiality degree is not subject to a state or trade secret
WWW článek - open access
Impact factor Impact factor: 3.890
RIV identification code RIV/00216224:14230/19:00111515
Organization unit Faculty of Social Studies
Doi http://dx.doi.org/10.5751/ES-10855-240306
UT WoS 000490942000002
Keywords in English abstraction; archetype analysis; generalization; ideographic trap; interdisciplinary collaboration; panacea; pattern; research design; social-ecological systems; qualitative; quantitative; validity
Tags open access, rivok
Tags International impact, Reviewed
Changed by Changed by: Bc. Blanka Farkašová, učo 97333. Changed: 26/3/2020 15:22.
Abstract
A key challenge in addressing the global degradation of natural resources and the environment is to effectively transfer successful strategies across heterogeneous contexts. Archetype analysis is a particularly salient approach in this regard that helps researchers to understand and compare patterns of (un)sustainability in heterogeneous cases. Archetype analysis avoids traps of overgeneralization and ideography by identifying reappearing but nonuniversal patterns that hold for well-defined subsets of cases. It can be applied by researchers working in inter- or transdisciplinary settings to study sustainability issues from a broad range of theoretical and methodological standpoints. However, there is still an urgent need for quality standards to guide the design of theoretically rigorous and practically useful archetype analyses. To this end, 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. These criteria are based on a stocktaking of current methodological challenges in archetypes research, including: to demonstrate the validity of the analysis, delineate boundaries of archetypes, and select appropriate attributes to define them. We thus contribute to a better common understanding of the approach and to the improvement of the research design of future archetype analyses.
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