In political science, a growing body of literature maintains that case studies do provide empirical ground for testing theory as far as procedures apply that clearly expose the probative power of evidence. We scrutinize argumentative, Bayesian, and set-theoretic procedures, and find that the former two can discipline discretion, yet not truly prevent biased conclusions about the fitting of cases to theory when used as stand-alone techniques -- while the latter relegates discretion to design issues, but cannot apply to N=1 studies.

Theory testing and small-N design / A. Damonte, B. Cotta. ((Intervento presentato al 3. convegno QCA tenutosi a Zürich nel 2015.

Theory testing and small-N design

A. Damonte
Primo
;
2015

Abstract

In political science, a growing body of literature maintains that case studies do provide empirical ground for testing theory as far as procedures apply that clearly expose the probative power of evidence. We scrutinize argumentative, Bayesian, and set-theoretic procedures, and find that the former two can discipline discretion, yet not truly prevent biased conclusions about the fitting of cases to theory when used as stand-alone techniques -- while the latter relegates discretion to design issues, but cannot apply to N=1 studies.
2-dic-2015
Argumentative inference; Bayesian inference; Set-theoretic inference; Process-tracing; Qualitative Comparative Analysis; Theory testing; Small-N studies
Settore SPS/04 - Scienza Politica
Eidgenössische Technische Hochschule Zürich
Universität Zürich
Theory testing and small-N design / A. Damonte, B. Cotta. ((Intervento presentato al 3. convegno QCA tenutosi a Zürich nel 2015.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/344940
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