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    Chapter 25 Process Tracing

    Proposal review

    An Analyticist Approach

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    Author(s)
    van Meegdenburg, Hilde
    Language
    English
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    Abstract
    This contribution develops process tracing (PT) as a method for Foreign Policy Analysis (FPA). It explains what it takes to conduct PT, trace a mechanism, and draw conclusions on that basis. Importantly, I lay out an analyticist approach to PT that is amendable to more actor-centered and interpretivist studies. This approach treats mechanisms as akin to Weberian ideal types: abstract constructs that are adduced from multiple concrete, contextually embedded, and largely idiosyncratic instantiations. This creates space for agency and contingency and allows us to a) study how a mechanism or concatenation of mechanisms led to a particular outcome; b) assess how the mechanism(s) functioned in a given context; and c) abstract from the specific instantiation(s) more general propositions about foreign policy making. In an empirical example of state employment of Private Military and Security Contractors, drawing on interpretivist and narrative-based understandings of FPA, I illustrate what this means in practice.
    Book
    Routledge Handbook of Foreign Policy Analysis Methods
    URI
    https://library.oapen.org/handle/20.500.12657/60271
    Keywords
    process tracing, mechanisms, ideal types, case study, idiosyncratic cases, agency
    DOI
    10.4324/9781003139850-31
    ISBN
    9780367689766, 9780367689803, 9781003139850
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2023
    Grantor
    • Universiteit Leiden
    Imprint
    Routledge
    Classification
    Politics and government
    Pages
    17
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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