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Case Selection Criteria, Methods, and Data Treatment

In: “Ye Shall Know Them by Their Fruits”

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  • Jason García Portilla

    (University of St. Gallen)

Abstract

This chapter examines the criteria for selecting the cases analysed in this study. It explains the application of critical discourse analysis (CDA) as its principal empirical method. It discusses CDA methods and data treatment as well as the empirical analysis of CDA results. Finally, it compares and summarises the case selection criteria. Four countries were compared: Switzerland, Uruguay, Cuba, and Colombia. These cases are also linked to the correlated variables in the quantitative model and to the sufficient conditions in the QCA. Cases were selected based on the “extreme case method”. Each of the selected countries serves as a proxy of a larger group of countries (Latin American Strong Catholic, Secular, Communism, Protestant or mixed Old World.). Critical discourse analysis (CDA) and religion constitute the qualitative method (micro-component). Sixty semi-structured interviews were conducted and analysed using memos and open coding.

Suggested Citation

  • Jason García Portilla, 2022. "Case Selection Criteria, Methods, and Data Treatment," Contributions to Economics, in: “Ye Shall Know Them by Their Fruits”, chapter 0, pages 259-267, Springer.
    • Handle: RePEc:spr:conchp:978-3-030-78498-0_17
    DOI: 10.1007/978-3-030-78498-0_17
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    Cited by:

    1. Bo-Chiuan Su & Hongxi Lin & Yu-Mei Wang, 2022. "The Business Model of Digital Platforms for the Sharing Economy: Intensive Case Study Methodology for Rover.com Pet Boarding Platform," Sustainability, MDPI, vol. 14(23), pages 1-33, December.

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