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| Autor/inn/en | Cooper, Barry; Glaesser, Judith |
|---|---|
| Titel | Exploring the Robustness of Set Theoretic Findings from a Large N fsQCA: An Illustration from the Sociology of Education |
| Quelle | In: International Journal of Social Research Methodology, 19 (2016) 4, S.445-459 (15 Seiten)
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1364-5579 |
| DOI | 10.1080/13645579.2015.1033799 |
| Schlagwörter | Social Science Research; Robustness (Statistics); Educational Sociology; Comparative Analysis; Qualitative Research; Research Problems; Statistical Analysis; Simulation; Error of Measurement; Sampling; Statistical Inference |
| Abstract | Ragin's Qualitative Comparative Analysis (QCA) is often used with small to medium samples where the researcher has good case knowledge. Employing it to analyse large survey datasets, without in-depth case knowledge, raises new challenges. We present ways of addressing these challenges. We first report a single QCA result from a configurational analysis of the British National Child Development Study dataset (highest educational qualification as a set theoretic function of social class, sex and ability). We then address the robustness of our analysis by employing Dusa and Thiem's R QCA package to explore the consequences of (i) changing fuzzy set theoretic calibrations of ability, (ii) simulating errors in measuring ability and (iii) changing thresholds for assessing the quasi-sufficiency of causal configurations for educational achievement. We also consider how the analysis behaves under simulated re-sampling, using bootstrapping. The paper offers suggested methods to others wishing to use QCA with large n data. (As Provided). |
| Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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