Literaturnachweis - Detailanzeige
| Autor/in | Rutten, Roel |
|---|---|
| Titel | Applying and Assessing Large-N QCA: Causality and Robustness from a Critical Realist Perspective |
| Quelle | In: Sociological Methods & Research, 51 (2022) 3, S.1211-1243 (33 Seiten)
PDF als Volltext |
| Zusatzinformation | ORCID (Rutten, Roel) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0049-1241 |
| DOI | 10.1177/0049124120914955 |
| Schlagwörter | Comparative Analysis; Correlation; Case Studies; Attribution Theory; Inferences; Robustness (Statistics); Validity; Realism; Qualitative Research; Databases; Construct Validity; Geographic Regions; Economic Development; Cross Cultural Studies; Foreign Countries |
| Abstract | Applying qualitative comparative analysis (QCA) to large Ns relaxes researchers' case-based knowledge. This is problematic because causality in QCA is inferred from a dialogue between empirical, theoretical, and case-based knowledge. The lack of case-based knowledge may be remedied by various robustness tests. However, being a case-based method, QCA is designed to be sensitive to such tests, meaning that also large-"N" QCA robustness tests must be evaluated against substantive knowledge. This article connects QCA's substantive-interpretation approach of causality to critical realism. From that perspective, it identifies relevant robustness tests and applies them to a real-data large-"N" QCA study. Robustness test findings are visualized in a robustness table, and this article develops criteria to substantively interpret them. The robustness table is introduced as a tool to substantiate the validity of causal claims in large-"N" QCA studies. (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2022/4/11 |
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