Skip to main content
Log in

Evidential pluralism, epistemic causality and mixed methods research

  • Book Symposium
  • Published:
Asian Journal of Philosophy Aims and scope Submit manuscript

Abstract

In this essay, I first reflect on the notion of epistemic causality which, according to Shan and Williamson, complements the idea of evidential pluralism. Then, I shift my attention to mixed methods research. While I agree that evidential pluralism provides a strong philosophical foundation for this approach, I argue that there is an alternative, equally strong foundation that focuses on explanation rather than on evidence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price includes VAT (Canada)

Instant access to the full article PDF.

Similar content being viewed by others

Data availability

There are no data associated with this article.

Notes

  1. I have selected ‘philosophical’ quotes on the importance of knowledge of causal mechanisms. There is also an extensive ‘practical’ literature on mixed methods research, focusing on how it should be done. See, e.g. The Oxford Handbook of Multimethod and Mixed Methods Research Inquiry (Hesse-Biber & Johnson, 2015) and The Routledge Handbook for Advancing Integration in Mixed Methods Research (Hitchcock & Onwuegbuzie, 2022).

  2. This does not entail that lung cancer cannot cause smoking (e.g. by means of forward-operating psychological mechanisms that makes people diagnosed with lung cancer to smoke more — for instance because they don’t care anymore about health — after the diagnosis). However, in order to argue for this, you have to design a different study.

References

  • De Bal, I., & Weber, E. (2019). Causation, time asymmetry and mechanistic evidence in the social sciences. In S. Kleinberg (Ed.), Time and causality across the sciences (pp. 138–157). Cambridge University Press.

    Google Scholar 

  • Fearon, J., & Laitin, D. (2008). Integrating qualitative and quantitative methods. In J. Box-Steffensmeier, H. Brady, & D. Collier (Eds.), The Oxford handbook of political methodology (pp. 756–776). Oxford University Press.

    Google Scholar 

  • Gerring, J. (2010) ‘Causal mechanisms: Yes, but …’, in Comparative Political Studies 43, 1499-1526

  • Giere, R. (1997). Understanding scientific reasoning (4th ed.). Harcourt Brace College Publishers.

    Google Scholar 

  • Goertz, G. (2017). Multimethod research, causal mechanisms and case studies. Princeton University Press.

  • Hesse-Biber, S., & Johnson, B. (eds.). (2015). The Oxford handbook of multimethod and mixed methods research inquiry. Oxford University Press

  • Hitchcock, J., & Onwuegbuzie, A., (eds.). (2022). The Routledge handbook for advancing integration in mixed methods research. Routledge

  • Lewis, D. K. (1973). Causation. Journal of Philosophy, 70, 556–567.

    Google Scholar 

  • Menzies, P., & Price, H. (1993). Causation as a secondary quality. British Journal for the Philosophy of Science, 44, 187–203.

    Google Scholar 

  • Rohlfing, I., & Schneider, C. (2018). A unifying framework for causal analysis in set-theoretic multimethod research. Sociological Methods & Research, 47, 37–63.

    Google Scholar 

  • Russo, F., & Williamson, J. (2007). Interpreting causality in the health sciences. International Studies in the Philosophy of Science, 21, 157–170.

    Google Scholar 

  • Shan, Y., & Williamson, J. (2023). Evidential pluralism in social sciences. Routledge.

    Google Scholar 

  • Steel, D. (2004). Social mechanisms and causal inference. Philosophy of the Social Sciences, 34, 55–78.

    Google Scholar 

  • Weber, E. (2024). Causal mechanisms in the social sciences as evidence for higher-order causal relations. In P. Illari & F. Russo (Eds.), The Routledge handbook of causality and causal methods (pp. 454–466). Routledge.

    Google Scholar 

  • Williamson, J. (2009). Probabilistic theories. In H. Beebee, C. Hitchcock, & P. Menzies (Eds.), The Oxford Handbook of Causation (pp. 185–212). Oxford University Press.

  • Woodward, J. (2003). Making things happen: A theory of causal explanation. Oxford University Press.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Erik Weber.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Weber, E. Evidential pluralism, epistemic causality and mixed methods research. Asian J. Philos. 4, 39 (2025). https://doi.org/10.1007/s44204-025-00263-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s44204-025-00263-1

Keywords