Mixed Methods Research and Causal Inference

Yafeng Shan

Department of Philosophy and Centre for Reasoning, University of Kent, UK

University of Kent, Canterbury Campus

Causal claims abound in mixed methods research. However, conceptual and methodological issues relating to causality in mixed methods research have not been systematically examined. There is no consensus about which concept of causality is employed by mixed methods research. For example, Johnson, Russo, and Schoonenboom (2017) argue for a pluralist theory of causation in mixed methods research, while Haggard and Kaufman (2016) suggest a unified (monistic) approach. Nor is it clear which research design is best for the purpose of establishing a causal claim. This workshop aims to examine and explore the concept of causality and approaches to causal claims in mixed methods research. The questions to be addressed include but are not limited to:- Which concept of causality best fits mixed methods research?- Which better captures the concept of causality in mixed methods research: causal pluralism or causal monism?- Does mixed methods research provide a better approach to establishing causal claims than the use of a single method?- How is a causal claim established in mixed methods research?**The conference is part of the BA/Leverhulme-funded project "The Metaphysical Foundations of Evidential Pluralism" (2020-2022).Keynote SpeakersSharon Crasnow (Norco College)R. Burke Johnson (University of South Alabama)For more information, click <a href="https://www.shanyafeng.com/mmr-and-causal-inference-workshop-kent-2022.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a>.

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Mixed Methods Research and Causal Inference

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