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Data for Case selection and causal inferences in qualitative comparative research
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Troeger, Vera, Plümper, Thomas and Neumayer, Eric (2017) Data for Case selection and causal inferences in qualitative comparative research. [Dataset]
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Official URL: https://doi.org/10.7910/DVN/3H5EDP
Abstract
Traditionally, social scientists perceived causality as regularity. As a consequence, qualitative comparative case study research was regarded as unsuitable for drawing causal inferences since a few cases cannot establish regularity. The dominant perception of causality has changed, however. Nowadays, social scientists define and identify causality through the counterfactual effect of a treatment. This brings causal inference in qualitative comparative research back on the agenda since comparative case studies can identify counterfactual treatment effects. We argue that the validity of causal inferences from the comparative study of cases depends on the employed case-selection algorithm. We employ Monte Carlo techniques to demonstrate that different case-selection rules strongly differ in their ex ante reliability for making valid causal inferences and identify the most and the least reliable case selection rules.
| Item Type: | Dataset | ||||||
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| Subjects: | B Philosophy. Psychology. Religion > BD Speculative Philosophy H Social Sciences > H Social Sciences (General) H Social Sciences > HM Sociology |
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| Divisions: | Faculty of Social Sciences > Economics | ||||||
| Type of Data: | Experimental data | ||||||
| Library of Congress Subject Headings (LCSH): | Sociology -- Research, Social sciences -- Comparative method, Causation, Social sciences -- Research -- Methodology, Case method | ||||||
| Publisher: | Harvard Dataverse | ||||||
| Official Date: | 12 November 2017 | ||||||
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| Status: | Not Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Media of Output: | .do | ||||||
| Access rights to Published version: | Open Access | ||||||
| Copyright Holders: | University of Warwick | ||||||
| Description: | Data record consists of a single data file in .do format. This data file contains the STATA do-file for the Monte Carlo experiments conducted in the paper. |
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